Here is the personal website of an Asian person who goes or went to Harvard in tech:
None
2012-07-12
<div><div>
 <p><a href="http://cdn-s4.tarikmoon.com/wp-content/uploads/2012/07/photo_Tarik_N13.jpg"></a> Welcome to my homepage. I am an experienced entrepreneur and engineer with a demonstrated history of starting companies and building products in blockchain, ad-tech, and e-commerce industries. I am passionate about taking a product from 0-1 and solving user pain points through products. Currently, I am the founder and CEO of Multiplyr, a decentralized finance based investment tool aimed at the retail investors.</p>
<p>I started my career working as a quant at Goldman Sachs. Then I moved to Silicon Valley to join an entertainment and media analytics startup as one of the early members of the team. I also took a sabbatical during 2018-2019 to work on a crypto data security startup in Asia and managed teams in Shanghai, China and Dhaka, Bangladesh. </p>
<p>My academic interest involved doing <a href="http://photo.tarikmoon.com/portfolio/">research</a> on data exploration and hardware conscious machine learning for data systems. In the past, for academic and professional research work, I have done several projects on <a href="http://tarikmoon.com/portfolio/">data visualizations</a> and machine learning. At Harvard, I was an undergraduate student researcher at <a href="http://daslab.seas.harvard.edu/">Harvard DASlab</a> and wrote my senior thesis under <a href="http://stratos.seas.harvard.edu/">Stratos Idreos</a>. During college, I worked on <a href="http://tarikmoon.com/bangla-pi/">Bangla Pi</a>, an affordable computing project that won awards at several innovation challenges including ASME Innovation Showcase and <a href="http://tech.seas.harvard.edu/harvardi3/">Harvard i3</a> Innovation Challenge.</p>
<p>For more information, please check my <a href="http://tarikmoon.com/resume/">résumé</a> and <a href="http://tarikmoon.com/portfolio/">portfolio</a> pages. If you are here for my advice on <a href="http://tarikmoon.com/misc/math-olympiad/">Math Olympiads</a> or <a href="http://tarikmoon.com/misc/college-admission/">college admission</a> process check the Miscellanea menu. You might also enjoy my <a href="http://tarikmoon.com/blog/">blog</a> posts and <a href="http://photo.tarikmoon.com/">photography</a>!<br />
</p>
<p>Thanks for visiting my homepage. Feel free to <a href="http://tarikmoon.com/contact/">contact me</a> if you have any question or comment.</p>
 	
 </div>||||I|||| * Home
 * Portfolio
 * Résumé
 * Work
 + My Courses
 + Course Assistant
 * Blog
 * Miscellanea
 + Bangla Pi
 + Web Development
 + College Admission
 + Math Olympiad
 + Play with Python
 + Photography
 * Contact

 Welcome to my homepage. I am an experienced entrepreneur and engineer with a demonstrated history of starting companies and building products in blockchain, ad-tech, and e-commerce industries. I am passionate about taking a product from 0-1 and solving user pain points through products. Currently, I am the founder and CEO of Multiplyr, a decentralized finance based investment tool aimed at the retail investors.

 I started my career working as a quant at Goldman Sachs. Then I moved to Silicon Valley to join an entertainment and media analytics startup as one of the early members of the team. I also took a sabbatical during 2018-2019 to work on a crypto data security startup in Asia and managed teams in Shanghai, China and Dhaka, Bangladesh.

 My academic interest involved doing research on data exploration and hardware conscious machine learning for data systems. In the past, for academic and professional research work, I have done several projects on data visualizations and machine learning. At Harvard, I was an undergraduate student researcher at Harvard DASlab and wrote my senior thesis under Stratos Idreos . During college, I worked on Bangla Pi , an affordable computing project that won awards at several innovation challenges including ASME Innovation Showcase and Harvard i3 Innovation Challenge.

 For more information, please check my résumé and portfolio pages. If you are here for my advice on Math Olympiads or college admission process check the Miscellanea menu. You might also enjoy my blog posts and photography !

 Thanks for visiting my homepage. Feel free to contact me if you have any question or comment.

 * Home
 * Portfolio
 * Résumé
 * Work
 * Blog
 * Miscellanea
 * Contact

 © 2012-2017 Tarik Adnan Moon | All rights Reserved

Home - Tarik Adnan Moon
http://tarikmoon.com/
None
None
<div><p>is a software engineer,<br />
 researcher, and<br />
 designer.</p><div><div><p>I study at Harvard and work on the future of cloud computing at <a href="https://modal.com/">Modal</a>.
 </p>
 <p>My ambition is to make better <em>interactive software</em> that helps people
 create, collaborate, learn, and meaningfully express what brings them joy.
 </p>
 <p>Towards that goal, I am a generalist and care deeply about <em>systems</em>, which form the fundamental building blocks of our applications; and
 <em>interaction design</em>, how we use and live with computers that are
 all around us.
 </p></div>
 
 <div><p>Previously, I worked at <a href="https://prosper.org/">Prosper Robotics</a>, <a href="https://convex.dev/">Convex</a>,
 <a href="https://jumptrading.com/">Jump Trading</a>,
 <a href="https://scale.com/">Scale AI</a>, and
 <a href="https://nvidia.com/">Nvidia</a>. I’ve also
 independently published things in the past, like a
 <a href="https://aip.scitation.org/doi/pdf/10.1063/9780735421646">physics book</a>,
 <a href="https://www.combinatorics.org/ojs/index.php/eljc/article/view/v28i1p24/pdf">combinatorics research</a>, and
 <a href="https://github.com/ekzhang/graphics-workshop">graphics tutorials</a>
 used by thousands. Before that, I won two gold medals at the
 <a href="https://stats.ioinformatics.org/people/6717">International Olympiad in Informatics</a>.
 </p>
 <p>At Harvard, I’ve been a distinguished teaching fellow for upper-level CS
 classes. I enjoy playing viola with various <a href="https://www.harvardradcliffeorchestra.org/">classical</a>
 <a href="https://youtu.be/rYrVFTzP4sw">music</a>
 <a href="https://youngarts.org/">groups</a>.
 </p>
 <p>Other interests: math, physics, art, musical theatre, and biking.</p></div>
</div>||||I|||| Eric Zhang

 projects writing resume

 is a software engineer ,
 researcher , and
 designer .

 I study at Harvard and work on the future of cloud computing at Modal.

 My ambition is to make better interactive software that helps people create, collaborate, learn, and meaningfully express what brings them joy.

 Towards that goal, I am a generalist and care deeply about systems, which form the fundamental building blocks of our applications; and interaction design, how we use and live with computers that are all around us.

 Notable open-source work:

 Bore

 bypass your NAT in just 400 lines of code

 6000+ stars on GitHub
 Percival

 reactive notebooks for exploratory data analysis

 Rustpad

 self-hosted collaborative text editor

 2M+ downloads
 Crepe

 compiled Datalog language in Rust

 used by cloud security systems & compilers
 FastSeg

 real-time semantic segmentation for self-driving cars

 Set with Friends

 online multiplayer card game

 30M+ page views, 900K+ users

 Previously, I worked at Prosper Robotics, Convex, Jump Trading, Scale AI, and Nvidia. I’ve also independently published things in the past, like a physics book, combinatorics research, and graphics tutorials used by thousands. Before that, I won two gold medals at the International Olympiad in Informatics.

 At Harvard, I’ve been a distinguished teaching fellow for upper-level CS classes. I enjoy playing viola with various classical music groups.

 Other interests: math, physics, art, musical theatre, and biking.

 Twitter @ekzhang1
 GitHub @ekzhang
 Email ekzhang1@gmail.com
Eric Zhang
https://www.ekzhang.com/
None
2018-03-30
<div><div><div><h3>Atlas Shrugged</h3><p>The importance of the individual + mind. Capitalism. Value creation as a means of life creation. Physical manifestations of creativity that generate value for others. Life is necessarily harder than death.</p></div><div><h3>The Creative Act: A Way of Being (Audiobook)</h3><p>Be an artist. Self. Understand the waves and harmony of the universe.</p></div><div><h3>Elon Musk</h3><p>Surge and then surge some more.</p></div><div><h3>Make Something Wonderful</h3><p>Fear pales in the face of death.</p></div><div><h3>Thinking in Systems: A Primer</h3><p>Take a step back. See the bigger picture. Everything is connected. Systems run the world.</p></div><div><h3>Unscaled: How AI and a New Generation of Upstarts Are Creating the Economy of the Future</h3><p>Market of 1.</p></div><div><h3>God and Gold</h3><p>Global system of capitalism and democracy. Individualism/Free play + capitalism = powerful blend.</p></div><div><h3>The Inner Game of Tennis</h3><p>It's always a mental game.</p></div><div><h3>Man's Search for Meaning</h3><p>Basically how I see meaning in life. Quotes to live by. There is only one thing that I dread: not to be worthy of my sufferings. The way in which a man accepts his fate and all the suffering it entails ... gives him ample oppurtunity ... to add a deeper meaning to his life. He who has a why to live for can bear with almost any how. Responsibleness the very essence of human existence. Live my thoughts instead of putting them on paper. Doesn't the final meaning of life, too, reveal itself, if at all, only at its end, on the verge of death. A man who removes each successive leaf from his calendar and files it neatly and carefully away.</p></div><div><h3>Stranger in a Strange Land</h3><p>Outside looking in. Inside looking out. Political statement about religion. Weird component about religion at the end. Grokking. Age does not bring wisdom but it does give perspective.</p></div><div><h3>Talent: How to Identify Energizers, Creatives, and Winners Around the World</h3><p>Empathy. Venice and Athen intellectual environments. Address the confidence crisis. Enhance the productivity curve.</p></div><div><h3>Presidential Leadership and the Creation of the American Era</h3><p>The illusion of a perfect leader. Necessity to consider what is needed in the context of the time</p></div><div><h3>The Hard Thing About Hard Things</h3><p>Wartime vs peace time founder. The importance of the team, product, market, timing, and founder. Dealing with the invisible challenges (including emotional and psychological).</p></div><div><h3>Pachinko</h3><p>Push and Pull of Being Different and Excluded</p></div><div><h3>Hacking Growth: How Today's Fastest-Growing Companies Drive Breakout Success</h3><p>Data, Data, Data. Iterate, Iterate, Iterate.</p></div><div><h3>Trillion Dollar Coach: The Leadership Handbook of Silicon Valley's Bill Campbell</h3><p>Bring love into your work and truly love the people you work with.</p></div></div></div>||||I|||| Resume

 Ivan Zhang

 Let's stay in touch 😃
 Links

 About Me

 Stuyvesant High School graduate. UATX alumni. Computer Science at Harvard College. Love to read, challenge myself, run, and learn. Reading Deep Learning and random ML papers in my free time. Focused on doing the hardest thing at any given moment. Taking a leave of absence from school to build a company.

 Projects

 LSM Tree

 Built an write-optimized LSM Tree database from scratch in C++

 athena

 A website that provides financial incentives for users to ask and answer Web3 development-related questions.

 * - Z Fellows

 Passport

 App that allows restaurants to build loyalty with customers through transferable NFT loyalty cards

 * - Runner up for the $DESO prize at Miami Hack Week

 DAOHub

 App for DAO admins to solve the free-rider problem within their organizations by engaging with all members.

 * - Hackathon project and winner for 8VC's $BUILD hackathon

 LunchTime - Eat Together

 App designed to help Harvard students eat together and check the menu


 Additional Links

 * App Store

 Walki - Anything but Text

 Social media app where users can only send 15 second voice messages


 Additional Links

 * App Store

 Storefronts

 Frontend for site that aggregates products from local sellers and connects them to local buyers

 * - Private repository but sharable on request

 Datacenter Fabric Simulator

 C++ data fabric simulator to make it easier to identify network issues like bottlenecks

 * - Optimized simulator through parallelization as compared to the usual serial simulators
 * - Collaborated with graduate students from Harvard’s engineering school (SEAS)
 * - Project for a graduate CS course I took freshman year

 Room Locator

 Website where students can get directions between classrooms and map out directions for their entire class schedule (i.e. GPS for Stuyvesant High School)

 PoliTracker

 Website that aggregates information (contact information, news, and sentiment) for political representatives in a zip code and allows users to follow their representatives

 CRUD Database

 CRUD (create, read, update, and delete) database in C

 Mesh and Shape Graphics Engine

 Graphics engine capable of creating certain meshes on objects (i.e. surface of 3D object) as well as 3D shapes like cones and spheres

 Pac-Snake

 Pac-man but Pac-man grows by one (like Snake) after eating a ghost

 Latest Posts

 Tools For Fighting The Data Monster

 Guest Post on Counting Stuff (2/2)

 The Big Bad Data Monster

 Guest Post on Counting Stuff (1/2)

 Meta-Strategies

 Repeatable business success

 Risk vs. Reward

 Why don't we maximize risk?

 Decentralization: An Op-Ed

 Just some thoughts and opinions on decentralization

 View all posts →

 Experience

 AccelerateSF

 Developer, September 2023 -

 * - Hackathon building AI solutions for SF's public sector challenges

 Eric Newcomer

 Contractor, May 2023 -

 * - Building features to improve Newcomer's sourcing and newsletter creation processes

 General Catalyst (CVF Team)

 Open-source Software Developer, May 2023 - December 2023

 * - Building internal tooling to better manage and profile data pipelines with Panda Patrol
 * - More details

 Zettablock

 Software Developer Intern, May 2022 - August 2022

 * - 8VC Fellowship

 Various Startups

 Freelance Developer (Remote), February 2022 - May 2022

 * - More specific details upon request

 Amazon

 Software Development Engineer I Intern (Remote), May 2021 - July 2021

 Amazon

 Software Development Engineer I Intern (Remote), June 2020 - August 2020

 Skills

 Web Development Languages & Frameworks

 Python, Flask, Django, Typescript, Javascript, Node.js, Express, React, Mocha, Chai, Sinon, Java, Spring Framework, Ruby, Ruby on Rails, HTML, and CSS

 Mobile Development Languages & Frameworks

 React Native, SwiftUI, and Swift

 Databases

 MongoDB, MySQL, and GraphQL

 Other Technologies

 Docker, Localstack, Firebase, Google Cloud, Twilio, JSON Web Tokens, Stripe, and Amazon Web Services

 Design

 Figma and Adobe Suite

 Other

 HBS Online CORe Credential of Readiness

 Past Books (From Jul 2022 onwards)

 Atlas Shrugged

 The importance of the individual + mind. Capitalism. Value creation as a means of life creation. Physical manifestations of creativity that generate value for others. Life is necessarily harder than death.

 The Creative Act: A Way of Being (Audiobook)

 Be an artist. Self. Understand the waves and harmony of the universe.

 Elon Musk

 Surge and then surge some more.

 Make Something Wonderful

 Fear pales in the face of death.

 Thinking in Systems: A Primer

 Take a step back. See the bigger picture. Everything is connected. Systems run the world.

 Unscaled: How AI and a New Generation of Upstarts Are Creating the Economy of the Future

 Market of 1.

 God and Gold

 Global system of capitalism and democracy. Individualism/Free play + capitalism = powerful blend.

 The Inner Game of Tennis

 It's always a mental game.

 Man's Search for Meaning

 Basically how I see meaning in life. Quotes to live by. There is only one thing that I dread: not to be worthy of my sufferings. The way in which a man accepts his fate and all the suffering it entails ... gives him ample oppurtunity ... to add a deeper meaning to his life. He who has a why to live for can bear with almost any how. Responsibleness the very essence of human existence. Live my thoughts instead of putting them on paper. Doesn't the final meaning of life, too, reveal itself, if at all, only at its end, on the verge of death. A man who removes each successive leaf from his calendar and files it neatly and carefully away.

 Stranger in a Strange Land

 Outside looking in. Inside looking out. Political statement about religion. Weird component about religion at the end. Grokking. Age does not bring wisdom but it does give perspective.

 Talent: How to Identify Energizers, Creatives, and Winners Around the World

 Empathy. Venice and Athen intellectual environments. Address the confidence crisis. Enhance the productivity curve.

 Presidential Leadership and the Creation of the American Era

 The illusion of a perfect leader. Necessity to consider what is needed in the context of the time

 The Hard Thing About Hard Things

 Wartime vs peace time founder. The importance of the team, product, market, timing, and founder. Dealing with the invisible challenges (including emotional and psychological).

 Pachinko

 Push and Pull of Being Different and Excluded

 Hacking Growth: How Today's Fastest-Growing Companies Drive Breakout Success

 Data, Data, Data. Iterate, Iterate, Iterate.

 Trillion Dollar Coach: The Leadership Handbook of Silicon Valley's Bill Campbell

 Bring love into your work and truly love the people you work with.

 Miscellaneous

 Five Boro Bike Tour

 Biked through all five boroughs of New York City. 40 miles. Zooming through the streets of NYC.

 Martha's Vineyard Half-Marathon

 Ran my first half-marathon. The first of many. Gotta get faster first.

 From ⏱️ to ⏱️

 Do not go gentle into that good night

 Shared by Self

 How to Be Great? Just Be Good, Repeatably

 Shared by Twitter

 Do not go gentle into that good night

 Shared by Self

 The Case Against Work-Life Balance: Owning Your Future

 Shared by KV

 Becoming a magician

 Shared by KV

 This Is Water David Foster Wallace Commencement Speech

 Shared by Jerry

 Steve Harvey | Every Successful Person Must Jump | Family Feud

 Shared by Twitter

 How to Start a Startup

 Shared by Jordan

Ivan Zhang | Avid Learner
https://aivanzhang.com/
None
2021-01-01T00:00:00Z
<div><div>
                

                <div>
                    <h4>Professional Skills</h4>
                    <p>
                        </p><h4>
                            <span>Business Product Design</span>
                            <span>General Management</span>
                            <span>Company Growth</span>
                        </h4>
                        <h5>
                            <span>Development Management</span>
                        </h5>
                    <p></p>
                        
                    <h4>Research Interests</h4>
                    <p>
                        </p><h4>
                            <span>Computer Vision</span>
                            <span>Federated Learning</span>
                            <span>ML for Healthcare</span>
                        </h4>
                        <h5>
                            <span>Machine Learning</span>
                            <span>Signal Processing</span>
                        </h5>
                    <p></p>
                </div>

                <div>
                        <h4>Highlight</h4>
                        <ul>
                            <li>
                                <span>2</span> advanced degrees: Ph.D. and Master's obtained from Massachusetts Institute of Technology
                            </li>
                            <li>
                                <span>2</span> majors acquired in undergraduate education: Electrical Engineering and Physics
                            </li>
                            <li>
                                Ranked <span>#1</span> in <a href="https://en.wikipedia.org/wiki/International_Physics_Olympiad">International Physics Olympiad</a> 2011 in both theory and experiment among 400+ participants
                            </li>
                        </ul>
                    </div>
                
                <div>
                        <h4>Experience</h4>
                        <div>
                                <p>
                                    </p><h4> 
                                        Hashgreen Labs. 
                                        <br/>
                                        <small> Founder &amp; CTO </small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em> Sep 2022 - Now </em></h5>
                                <p></p>
                                
                            </div>
                    </div>
                
                <div>
                        <h4>Education</h4>
                        <div>
                                <p>
                                    </p><h4> 
                                        Massachusetts Institute of Technology
                                        <br/>
                                        <small> Ph.D. Student in Electrical Engineering and Computer Science </small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em> Sep. 2017 - Aug. 2022 </em></h5>
                                <p></p>
                                
                            </div>
                        <div>
                                <p>
                                    </p><h4> 
                                        Massachusetts Institute of Technology
                                        <br/>
                                        <small> S.M. in Electrical Engineering and Computer Science </small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em> Sep. 2017 - May. 2020 </em></h5>
                                <p></p>
                                
                            </div>
                        <div>
                                <p>
                                    </p><h4> 
                                        National Taiwan University (NTU) 
                                        <small>
                                            <span>Class Rank: 1/190</span>
                                            <span>GPA: 3.99/4.00</span>
                                        </small>
                                        <br/>
                                        <small>
                                            B.S.E. IN ELECTRICAL ENGINEERING AND B.S. IN PHYSICS
                                        </small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em> Sep. 2011 - Jun. 2016 </em></h5>
                                <p></p>
                                
                            </div>
                    </div>
                
                <div> 
                    <h4>Publications</h4>
                    
                </div>

                <div> 
                    <h4>Research Experiences</h4>
                    

                    <div>
                            <p>
                                </p><h4> 
                                    Mobile Vision Group, Google Research <br/>
                                    <small> 
                                        <a href="https://ai.google/research/people/MatthewBrown">
                                           Matthew Brown 
                                        </a>
                                    </small>
                                </h4>
                            <p></p>
                            <p>
                                </p><h5><em> Jun. 2019 - Mar. 2020 </em></h5>
                            <p></p>
                            
                        </div>

                    <div>
                        <div>
                            <p>
                                </p><h4> 
                                    Computer Vision Labs, CSAIL, MIT <br/>
                                </h4>
                            <p></p>
                            <p>
                                </p><h5><em> Jan. 2018 - Jul. 2018 </em></h5>
                            <p></p>
                            
                        </div>
                        <div>
                            <ul>
                                <li>
                                    <h4> Vision as Inverse Graphics </h4>
                                    <p> 
                                        Understand scenes with approximately differentiable inverse graphics + graphics renderer network. 
                                    </p>
                                </li>
                            </ul>
                        </div>
                    </div>

                    <div>
                            <ul>
                                <li>
                                    <h4> Agent Co-localization via Cellular Network </h4>
                                    <p> 
                                        Construct Bayesian model based on LTE channel estimation and locate agents in an area simultaneously.
                                    </p>
                                </li>
                            </ul>
                        </div>
                    <div>
                            <ul>
                                <li>
                                    <h4> Deep Learning for Heterogeneous Domain Adaptation </h4>
                                    <p> 
                                        Transfer knowledge across different feature domains and build classifiers above the transferred knowledges. 
                                    </p>
                                    <p>
                                        <a href="http://mml.citi.sinica.edu.tw/papers/eccv2016.pdf">Transfer Neural Trees</a> is proposed to transfer classifiers to a different dimensional space with deep neural network.
                                    </p>
                                </li>
                                <li>
                                    <h4> Unsupervised Domain Adaptation with Imbalanced Cross-domain Data </h4>
                                    <p>
                                        Information of labeled source-domain data is transferred to the unlabeled target-domain, which may be a small set with imbalanced label counts.
                                    </p>
                                    <p>
                                        <a href="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Hsu_Unsupervised_Domain_Adaptation_ICCV_2015_paper.pdf">Closest Common Space Learning</a> is proposed to combine sub-domain level classifiers to identify better source data applicability.
                                    </p>
                                </li>
                                <li>
                                    <h4> Unsupervised Domain Adaptation with Balanced Cross-domain Data </h4>
                                    <p>
                                        A set of labeled source-domain data is used to construct classifier for the unlabeled target-domain data.
                                    </p>
                                    <p>
                                        <a href="https://stmharry.io/pdf/ICIP_2015.pdf">An algorithm</a> is proposed to address source-target mismatch and project them to a common space.
                                    </p>
                                </li>
                                <li>
                                    <h4> External Review </h4>
                                    <p>
                                        Review papers as external reviewer for <em>ICCV</em>, <em>ECCV</em>, <em>AAAI</em>, and <em>IJCAI</em>.
                                    </p>
                                </li>
                            </ul>
                        </div>
                    <div>
                            <ul>
                                <li>
                                    <h4> Noise Removal of Photoplethysmographic (PPG) Signals </h4>
                                    <p>
                                        Remove noises in PPG signals induced by motions by decorrelating the PPG with accelerometer signal.
                                    </p>
                                    <p>
                                        An algorithm is proposed to project the signal into a complex plane, in which a temporal filter will be performed, followed by ensemble voting for the optimal beat counts.
                                    </p>
                                </li>
                            </ul>
                        </div>
                    <div>
                            <ul>
                                <li>
                                    <h4> Compressed Sensing </h4>
                                    <p>
                                        Compress the data perceived by a sensor array using less data storage than what it used to consume.
                                    </p>
                                </li>
                                <li>
                                    <h4> Mathematical Neural Models </h4>
                                    <p>
                                        Establish a time-continuous model of human neurons to simulate the biological effects at stimulus and message passing.
                                    </p>
                                </li>
                            </ul>
                        </div>
                </div>
                    
                <div>
                        <h4>Honors &amp; Awards</h4>
                        <h5>Group</h5>
                        <div>
                            <div>
                                <p>
                                    </p><h4> 
                                        Altera Innovate Asia FPGA Design Competition <br/>
                                        <small>Silver Medal Award</small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em>2015</em></h5>
                                <p></p>
                                
                            </div>
                            <p> 
                                    Ranked 2<sup>nd</sup> among 20 teams, team <strong>Taipei Amoeba</strong> designed  
                                    <a href="https://stmharry.io/pdf/InnovateAsia_2015.pdf">a custom PCB named EZBud with algorithms integrated inside</a>, which communicates with the FPGA. This piece of hardware modulates music according to measured user sporting statistics. 
                                </p>
                        </div>
                        <div>
                            <div>
                                <p>
                                    </p><h4> 
                                        ICASSP Signal Processing Cup <br/>
                                        <small>Tenth Place</small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em>2015</em></h5>
                                <p></p>
                                
                            </div>
                            <p>
                                Ranked 10<sup>th</sup> globally in sports heartbeat detection with an error of 4.89 beats per minute (BPM), team <strong>Taipei Amoeba</strong> had proposed an algorithm called <a href="https://stmharry.io/pdf/ICASSP_2015.pdf">Trajectory Space Circular Model</a>.
                                </p>
                        </div>
                       
                        <h5>Individual</h5>
                        <div>
                            <div>
                                <p>
                                    </p><h4> 
                                        Presidential Award (5 times) <br/>
                                        <small>Issued by the Department of Electrical Engineering</small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em>2011 - 2014</em></h5>
                                <p></p>
                                
                            </div>
                            <p>
                                    Awarded per semester to the top 5% students.
                                </p>
                        </div>

                        
                        <div>
                            <div>
                                <p>
                                    </p><h4> 
                                        International Junior Science Olympiad (IJSO) <br/>
                                        <small> Gold Medal Award </small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em>2008</em></h5>
                                <p></p>
                                
                            </div>
                            <p>
                                    Ranked top 10% among 300 national representatives from junior high schools of over 60 countries.
                                </p>
                        </div>
                    </div>

                <div>
                        <h4> Work &amp; Teaching Experiences </h4>
                        <div>
                                <p>
                                    </p><h4> 
                                        Google <br/>
                                        <small> Research Intern </small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em> Jun. 2019 - Aug. 2019 </em></h5>
                                <p></p>
                                
                            </div>

                        <div>
                            <div>
                                <p>
                                    </p><h4> 
                                        Digital Drift Corporation <br/>
                                        <small> COOPERATIVE RESEARCHER </small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em> Mar. 2016 - Now </em></h5>
                                <p></p>
                                
                            </div>
                            <div>
                                <h5> Deep Neural Networks for Recognition and Matching </h5>
                                <p>
                                    Build deep models for cuisine images using TensorFlow on multi-GPU machines, providing a backend with an API.
                                </p>
                            </div>
                        </div>

                        <div>
                            <div>
                                <p>
                                    </p><h4> 
                                        Olympiad Tutoring Community <br/>
                                        <small> PRIVATE TUTOR </small>
                                    </h4>
                                <p></p>
                                <p>
                                    </p><h5><em> Sep. 2011 - Jun. 2015 </em></h5>
                                <p></p>
                                
                            </div>
                            <div>
                                <p>
                                    Offer tutoring for high school physics, competition physics, GRE subject test (physics), and SAT II subject test (physics).
                                </p>
                                <p>
                                    Two students became national representatives for Taiwan in International Physics Olympiad (IPhO).
                                </p>
                            </div>
                        </div>
                    </div>

                
            </div></div>||||I||||          Tzu-Ming Harry Hsu

          Founder and CTO, Hashgreen Labs
          Ph.D in Computer Science, Massachusetts Institute of Technology

            Resume Google Scholar stmharry stmharry@mit.edu

      Professional Skills

        Business Product Design General Management Company Growth

        Development Management

      Research Interests

        Computer Vision Federated Learning ML for Healthcare

        Machine Learning Signal Processing

        Highlight

          * 2 advanced degrees: Ph.D. and Master's obtained from Massachusetts Institute of Technology
          * 2 majors acquired in undergraduate education: Electrical Engineering and Physics
          * Ranked #1 in International Physics Olympiad 2011 in both theory and experiment among 400+ participants

        Experience

              Hashgreen Labs.
              Founder & CTO

              Sep 2022 - Now

        Education

              Massachusetts Institute of Technology
              Ph.D. Student in Electrical Engineering and Computer Science

              Sep. 2017 - Aug. 2022

              Massachusetts Institute of Technology
              S.M. in Electrical Engineering and Computer Science

              Sep. 2017 - May. 2020

              National Taiwan University (NTU) Class Rank: 1/190 GPA: 3.99/4.00
              B.S.E. IN ELECTRICAL ENGINEERING AND B.S. IN PHYSICS

              Sep. 2011 - Jun. 2016

      Publications

              Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning


              Balazs Feher, Ulrike Kuchler, Falk Schwendicke, Lisa Schneider, Jose Eduardo Cejudo Grano de Oro, Tong Xi, Shankeeth Vinayahalingam, Tzu-Ming Harry Hsu, Janet Brinz, Akhilanand Chaurasia, Kunaal Dhingra, Robert Andre Gaudin, Hossein Mohammad-Rahimi, Nielsen Pereira, Francesc Perez-Pastor, Olga Tryfonos, Sergio E Uribe, Marcel Hanisch, Joachim Krois
              Diagnostics

              Artificial Intelligence to Assess Body Composition on Routine Abdominal CT Scans and Predict Mortality in Pancreatic Cancer – A Recipe for Your Local Application


              Tzu-Ming Harry Hsu, Khoschy Schawkat, Seth J. Berkowitz, Jesse L. Wei, Alina Makoyeva, Kaila Legare, Corinne DeCicco, S. Nicolas Paez, Jim S.H. Wu, Peter Szolovits, Ron Kikinis, Arthur J. Moser, Alexander Goehler
              European Journal of Radiology

              DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision

              arXiv Slides Poster


              Tzu-Ming Harry Hsu, Yin-Chih Chelsea Wang
              International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021

              Visceral Adiposity and Severe COVID-19 Disease: Application of an Artificial Intelligence Algorithm to Improve Clinical Risk Prediction


              Alexander Goehler, Tzu-Ming Harry Hsu, Jacqueline A. Seiglie, Mark J. Siedner, Janet Lo, Virginia Triant, John Hsu, Andrea Foulkes, Ingrid Bassett, Ramin Khorasani, Deborah J. Wexler, Peter Szolovits, James B. Meigs, Jennifer Manne-Goehler
              Open Forum Infectious Diseases

              Adversarial Contrastive Pre-training for Protein Sequences

              arXiv


              Matthew McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits

              Three-Dimensional Neural Network to Automatically Assess Liver Tumor Burden Change on Consecutive Liver MRIs

              Code


              Alexander Goehler, Tzu-Ming Harry Hsu, Ronilda Lacson, Isha Gujrathi, Raein Hashemi, Grzegorz Chlebus, Peter Szolovits, Ramin Khorasani
              Journal of the American College of Radiology

              Federated Visual Classification with Real-World Data Distribution

              arXiv Dataset Slides


              Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
              European Conference on Computer Vision (ECCV) 2020

              Automatic Longitudinal Assessment of Tumor Responses

              Code


              Tzu-Ming Harry Hsu
              Master's Thesis, MIT EECS

              CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output

              arXiv Code


              Matthew B. A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits
              Machine Learning for Healthcare 2020

              Baselines for Chest X-Ray Report Generation

              Poster*


              William Boag, Tzu-Ming Harry Hsu, Matthew McDermott, Gabriela Berner, Emily Alesentzer, Peter Szolovits
              Machine Learning for Health (ML4H) Workshop, NeurIPS 2019
              * Poster by William Boag

              Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

              arXiv Poster


              Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
              Workshop on Federated Learning for Data Privacy and Confidentiality, NeurIPS 2019

              Clinically Accurate Chest X-Ray Report Generation

              arXiv Code Poster


              Tzu-Ming Harry Hsu*, Guanxiong Liu*, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi
              Machine Learning for Healthcare 2019
              * Co-first Authors; Spotlight Presentation

              Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond


              Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Ming-Syan Chen, and Yu-Chiang Frank Wang
              IEEE Transactions on Image Processing (TIP)

              3D-Aware Scene Manipulation via Inverse Graphics

              arXiv Project Code Poster


              Tzu-Ming Harry Hsu*, Shunyu Yao*, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum
              NeurIPS 2018

              Unsupervised Multimodal Representation Learning across Medical Images and Reports

              arXiv Poster


              Tzu-Ming Harry Hsu, Wei-Hung Weng, Willie Boag, Matthew McDermott, Peter Szolovits
              Machine Learning for Health (ML4H) Workshop, NeurIPS 2018

              Learning Food Quality and Safety using Wireless Stickers


              Unsoo Ha, Yunfei Ma, Zexuan Zhong, Tzu-Ming Harry Hsu, Fadel Adib
              Hotnets 2018

              Transfer Neural Trees for Heterogeneous Domain Adaptation


              Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, and Yu-Chiang Frank Wang
              ECCV 2016

              Unsupervised Domain Adaptation With Imbalanced Cross-Domain Data


              Tzu-Ming Harry Hsu, Wei-Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, and Yu-Chiang Frank Wang
              ICCV 2015

              Connecting the dots without clues: Unsupervised domain adaptation for cross-domain visual classification


              Wei-Yu Chen, Tzu-Ming Harry Hsu, Cheng-An Hou, Yi-Ren Yeh and Yu-Chiang Frank Wang
              ICIP 2015

              Robust Motion Artifact Reduction of Photoplethysmographic Signal with Trajectory Space Circular Model


              Tzu-Ming Harry Hsu, Wei-Yu Chen, Kuan-Lin Chen, Mong-Chi Ko, You-Cheng Liu, An-Yeu Andy Wu
              ICASSP Signal Processing Cup 2015

      Research Experiences

            Clinical Descision Making Group, CSAIL, MIT
            Prof. Peter Szolovits

            Jul. 2018 - Now

            Mobile Vision Group, Google Research
            Matthew Brown

            Jun. 2019 - Mar. 2020

            Computer Vision Labs, CSAIL, MIT

            Jan. 2018 - Jul. 2018

            * Vision as Inverse Graphics

              Understand scenes with approximately differentiable inverse graphics + graphics renderer network.

            Signal Kinetics Lab, Media Lab, MIT
            Prof. Fadel Adib

            Sep. 2017 - Jan. 2018

            * Agent Co-localization via Cellular Network

              Construct Bayesian model based on LTE channel estimation and locate agents in an area simultaneously.

            Multimedia and Machine Learning Lab, Academia Sinica
            Prof. Yu-Chiang Frank Wang

            Apr. 2014 - Jun. 2016

            * Deep Learning for Heterogeneous Domain Adaptation

              Transfer knowledge across different feature domains and build classifiers above the transferred knowledges.

              Transfer Neural Trees is proposed to transfer classifiers to a different dimensional space with deep neural network.

            * Unsupervised Domain Adaptation with Imbalanced Cross-domain Data

              Information of labeled source-domain data is transferred to the unlabeled target-domain, which may be a small set with imbalanced label counts.

              Closest Common Space Learning is proposed to combine sub-domain level classifiers to identify better source data applicability.

            * Unsupervised Domain Adaptation with Balanced Cross-domain Data

              A set of labeled source-domain data is used to construct classifier for the unlabeled target-domain data.

              An algorithm is proposed to address source-target mismatch and project them to a common space.

            * External Review

              Review papers as external reviewer for ICCV, ECCV, AAAI, and IJCAI.

            Access IC Lab
            Prof. An-Yeu Andy Wu

            Sep. 2014 - Jun. 2015

            * Noise Removal of Photoplethysmographic (PPG) Signals

              Remove noises in PPG signals induced by motions by decorrelating the PPG with accelerometer signal.

              An algorithm is proposed to project the signal into a complex plane, in which a temporal filter will be performed, followed by ensemble voting for the optimal beat counts.

            Laboratory for Applied Logic and Computation in System Design (ALCom Lab)
            Prof. Jie-Hong Roland Jiang

            Jul. 2013 - Jun. 2014

            * Compressed Sensing

              Compress the data perceived by a sensor array using less data storage than what it used to consume.

            * Mathematical Neural Models

              Establish a time-continuous model of human neurons to simulate the biological effects at stimulus and message passing.

        Honors & Awards

        Group

              Altera Innovate Asia FPGA Design Competition
              Silver Medal Award

              2015

            Ranked 2nd among 20 teams, team Taipei Amoeba designed a custom PCB named EZBud with algorithms integrated inside, which communicates with the FPGA. This piece of hardware modulates music according to measured user sporting statistics.

              ICASSP Signal Processing Cup
              Tenth Place

              2015

            Ranked 10th globally in sports heartbeat detection with an error of 4.89 beats per minute (BPM), team Taipei Amoeba had proposed an algorithm called Trajectory Space Circular Model.

        Individual

              Presidential Award (5 times)
              Issued by the Department of Electrical Engineering

              2011 - 2014

            Awarded per semester to the top 5% students.

              International Physics Olympiad (IPhO)
              World’s First Place and Gold Medal Award

              2011

            Ranked 1st in both theory section and experiment section among 401 national representatives from senior high schools of over 80 countries.

              International Junior Science Olympiad (IJSO)
              Gold Medal Award

              2008

            Ranked top 10% among 300 national representatives from junior high schools of over 60 countries.

        Work & Teaching Experiences

              Google
              Research Intern

              Jun. 2019 - Aug. 2019

              Digital Drift Corporation
              COOPERATIVE RESEARCHER

              Mar. 2016 - Now

            Deep Neural Networks for Recognition and Matching

            Build deep models for cuisine images using TensorFlow on multi-GPU machines, providing a backend with an API.

              Olympiad Tutoring Community
              PRIVATE TUTOR

              Sep. 2011 - Jun. 2015

            Offer tutoring for high school physics, competition physics, GRE subject test (physics), and SAT II subject test (physics).

            Two students became national representatives for Taiwan in International Physics Olympiad (IPhO).

Tzu-Ming Harry Hsu, Ph.D. Student, MIT EECS
https://stmharry.io/
None
2016-01-01T00:00:00Z
<div><div>
               <p></p><h3>Hi. I'm Alex.</h3>
               <h5>I'm an Entrepreneur based in Asia.</h5>
               
               <p>
                  I'm currently working on a couple of projects and would love to tell you more<br/> when our product has been released to the public.
               </p>

               <p>
                  Before starting up on my own, I was previously a partner at <a href="http://a16z.com">Andreessen Horowitz</a> (VC fund) in California,<br/> an algorithmic trader at <a href="http://teza.com">Teza Technologies</a> in Chicago, and<br/>a researcher in the graphics team for <a href="http://www.jp.square-enix.com/">Square Enix</a> in Tokyo, Japan.
               </p>

               <p>
                  I went to school at <a href="https://stanford.edu">Stanford University</a> and <a href="https://cmu.edu">Carnegie Mellon University</a> in the US<br/> and currently hold the record for finishing my undergrad studies in 2 years.
               </p>

               <p>
                  I love playing the piano and traveling to faraway lands.<br/>Food and exercise are essential parts of my life (:
               </p>
  
               <p>
                 Singapore · Tokyo · Hong Kong
               </p>
               
            </div></div>||||I||||        alex.chia

        * Home
        * Projects
        * Portfolio
        * Venture
        * Connect

        Hi. I'm Alex.

        I'm an Entrepreneur based in Asia.

        I'm currently working on a couple of projects and would love to tell you more
        when our product has been released to the public.

        Before starting up on my own, I was previously a partner at Andreessen Horowitz (VC fund) in California,
        an algorithmic trader at Teza Technologies in Chicago, and
        a researcher in the graphics team for Square Enix in Tokyo, Japan.

        I went to school at Stanford University and Carnegie Mellon University in the US
        and currently hold the record for finishing my undergrad studies in 2 years.

        I love playing the piano and traveling to faraway lands.
        Food and exercise are essential parts of my life (:

        Singapore · Tokyo · Hong Kong

        Previous Projects

        2015

        Check them out.

            Mr Chilly

            iPhone App to view Real-Time Microclimates in San Francisco.
            Developed together with Anna Bleker.

            Stealth Project #1

            Details to come.

      Portfolio

      Things I've worked on

      More to come.

              Mr. Chilly

              iPhone App - Weather / 2015

              21.co Website

              Frontend / 2015

              Progressive Photon Mapper

              Real Time Rendering / 2010

              Fold It

              Biocomputation / Gamification / 2009

              Brain Neuron Optimization

              Metaheuristic Algorithms / 2007

      Venture

      TBA

          Connect

          Please only connect if we've met.

              * 
              * 
        © 2016 Alexander Chia
alexchia.com
https://alexchia.com/
Phoebe Yao
2021-06-25T00:00:00Z
<div><div>
      <h4>last updated 6/25/21</h4>

<p><em>Oh happy fall that was the occasion for so sublime a redemption.</em></p>

<h2>Who</h2>

<p>I was born in a small city in northern China, famous for its fragrant black vinegar and crab “fat” 小笼包. One afternoon when I was 5, my mom showed up at my preschool and asked me to say goodbye to my classmates. Unbeknownst to me, we would soon be jumping on my first flight over the Pacific to meet my dad in the U.S. and begin our new lives in Saint Louis, Missouri.</p>

<p>The years after immigration turned out to be a lot harder than either of my parents expected. With no intuition for western culture and little to no English, they had to start from scratch. My mom waitressed during the days and studied English in the evenings while my dad became a truck driver despite having a Ph.D. in chemical engineering. Growing up a witness to their struggles and triumphs inspired my perennial obsession with existentialism, self-determination, and the future of work.</p>

<p>I’m a human-computer interaction researcher turned engineer turned founder. A gap year in 2018 inspired me to get off the institutional escalator and a pandemic in 2020 motivated me drop out of Stanford. I’m passionate about democratizing access to meaningful work, developing empathetic computer mediated interactions, and building workflows to enable diverse, distributed teams.</p>

<h2>What</h2>

<p>I’m a <a href="https://www.businesswire.com/news/home/20201230005363/en/Thiel-Foundation-Announces-2020-Thiel-Fellows">2020 Thiel Fellow</a> building <a href="http://hellopareto.com/">Pareto</a>, a human API delivering the business functions startups desperately need, on-demand. In previous lives, I performed with orchestras around the world as a classical violist, researched team status hierarchies at the <a href="https://hci.stanford.edu/">Stanford HCI Lab</a>, built <a href="https://github.com/microsoft/lets-talk-mental-health">chatbots</a> to destigmatize mental illness at Microsoft Research in India, and published <a href="https://minorplanetcenter.net//iau/ECS/MPCArchive/2015/MPS_20150802.pdf">near-earth asteroid observations</a> with <a href="https://summerscience.org/">SSP in New Mexico</a>.</p>

<h2>When</h2>

<p>I’m 23, living in the diamond age.</p>
<h2>Where</h2>

<p>Based in the Bay Area every other month.</p>
<h2>How</h2>

<p>Good vibes from healthy consumption. Here are my favorites.</p>
<h3>Listenings</h3>
<ul>
  <li><a href="https://www.youtube.com/watch?v=o2UYch2JnO4&amp;t=675s">Tao Te Ching</a></li>
  <li><a href="https://www.youtube.com/watch?v=HvzoAfpCvbw">Byzantium by Fall of Civilizations</a></li>
  <li><a href="https://www.youtube.com/watch?v=0V6C8EWMHXM">The Joker by Alan Watts</a></li>
</ul>

<h3>Readings</h3>
<ul>
  <li><a href="https://www.goodreads.com/book/show/827.The_Diamond_Age">The Diamond Age</a></li>
  <li><a href="https://www.gutenberg.org/files/205/205-h/205-h.htm">Walden</a></li>
  <li><a href="https://www.goodreads.com/book/show/1885.Pride_and_Prejudice">Pride &amp; Prejudice</a></li>
  <li><a href="https://www.goodreads.com/book/show/375802.Ender_s_Game">Ender’s Game</a></li>
</ul>

<h3>Doings</h3>
<ul>
  <li>Walking meditation at <a href="https://deerparkmonastery.org/">Deer Park Monastery</a></li>
  <li>Food is my love language</li>
</ul>

	    
    </div></div>||||I||||    Toggle navigation Phoebe Yao
      * home
      * writings
      * music

          about me

          building for the diamond age

      last updated 6/25/21

      Oh happy fall that was the occasion for so sublime a redemption.

      Who

      I was born in a small city in northern China, famous for its fragrant black vinegar and crab “fat” 小笼包. One afternoon when I was 5, my mom showed up at my preschool and asked me to say goodbye to my classmates. Unbeknownst to me, we would soon be jumping on my first flight over the Pacific to meet my dad in the U.S. and begin our new lives in Saint Louis, Missouri.

      The years after immigration turned out to be a lot harder than either of my parents expected. With no intuition for western culture and little to no English, they had to start from scratch. My mom waitressed during the days and studied English in the evenings while my dad became a truck driver despite having a Ph.D. in chemical engineering. Growing up a witness to their struggles and triumphs inspired my perennial obsession with existentialism, self-determination, and the future of work.

      I’m a human-computer interaction researcher turned engineer turned founder. A gap year in 2018 inspired me to get off the institutional escalator and a pandemic in 2020 motivated me drop out of Stanford. I’m passionate about democratizing access to meaningful work, developing empathetic computer mediated interactions, and building workflows to enable diverse, distributed teams.

      What

      I’m a 2020 Thiel Fellow building Pareto, a human API delivering the business functions startups desperately need, on-demand. In previous lives, I performed with orchestras around the world as a classical violist, researched team status hierarchies at the Stanford HCI Lab, built chatbots to destigmatize mental illness at Microsoft Research in India, and published near-earth asteroid observations with SSP in New Mexico.

      When

      I’m 23, living in the diamond age.

      Where

      Based in the Bay Area every other month.

      How

      Good vibes from healthy consumption. Here are my favorites.

      Listenings

        * Tao Te Ching
        * Byzantium by Fall of Civilizations
        * The Joker by Alan Watts

      Readings

        * The Diamond Age
        * Walden
        * Pride & Prejudice
        * Ender’s Game

      Doings

        * Walking meditation at Deer Park Monastery
        * Food is my love language
        * Email me
        * GitHub
        * Twitter
        * LinkedIn

      Phoebe Yao • 2021 • phoebeyao.com

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about me
https://phoebeyao.com/