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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/" />
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<link rel="stylesheet" href="jemdoc.css" type="text/css" />
<title>Hao-Jun Michael Shi</title>
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<table summary="Table for page layout." id="tlayout">
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<div class="menu-category"><br>HAO-JUN MICHAEL SHI</div>
<div class="menu-item"><a href="index.html" class="current">HOME</a></div>
<div class="menu-item"><a href="bio.html">BIOGRAPHY</a></div>
<div class="menu-item"><a href="https://scholar.google.com/citations?user=U1efqpIAAAAJ&hl=en">PUBLICATIONS</a></div>
<div class="menu-item"><a href="https://github.com/hjmshi/">SOFTWARE</a></div>
<div class="menu-item"><a href="CV.pdf">CURRICULUM VITAE</a></div>
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<h1>Hao-Jun Michael Shi</h1>
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<img src="pictures/hjmshi.jpg" alt="A picture of Hao-Jun Michael Shi" width="200px" /> </td>
<td align="left"><p>Hao-Jun Michael Shi <br />
Research Scientist <br />
AI and Systems Co-Design, <a href="https://research.fb.com/" target=“blank”>Meta Platforms</a> <br />
Email: <a href="mailto:[email protected]" target=“blank”>[email protected]</a> <br />
LinkedIn: <a href="https://www.linkedin.com/in/hjmshi/" target=“blank”>https://www.linkedin.com/in/hjmshi/</a></p>
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<p>Welcome to my website! My full name is Hao-Jun Michael Shi, although I normally go by Michael. <br />
<br />
I am a research scientist at Meta in the AI and Systems Co-Design Training team. My work has centered on the exploration (research) and implementation of scalable and distributed training algorithms and systems for deep learning. I have most recently focused on developing scalable adaptive gradient methods for training neural networks, specifically an efficient PyTorch implementation of the <a href="https://github.com/facebookresearch/optimizers" target=“blank”>Distributed Shampoo</a> optimizer. <br />
<br />
I have a Ph.D. in numerical optimization, with some dabbling in deep learning and numerical analysis. During my Ph.D., I have designed algorithms for neural network training and stochastic optimization (progressive batching quasi-Newton), noisy optimization (noise-tolerant quasi-Newton), and derivative-free optimization (adaptive finite-difference methods under noise). I have also contributed to Facebook's open-source deep learning-based recommendation model (DLRM) and developed embedding compression techniques (QR embedding) during a prior internship at Facebook. <br />
<br />
In my free time, I like to eat good food, read interesting books, play basketball, root for UCLA sports teams (Go Bruins!), serve at my <a href="https://pbc.org/" target=“blank”>church</a>, and spend time with my <a href="https://www.linkedin.com/in/charlotte-abrahamson-0b5314b4/" target=“blank”>wife</a> while attempting to entertain my <a href="pictures/taro.jpg" target=“blank”>cat</a> <a href="pictures/taro2.jpg" target=“blank”>Taro</a>.
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<p><br /><br />
<i>“So, whether you eat or drink, or whatever you do, do all to the glory of God.” - 1 Corinthians 10:31</i> </p>
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CSS by Charlotte Abrahamson and Hao-Jun Michael Shi. Page generated 2023-08-29 22:14:41 PDT, by <a href="https://github.com/wsshin/jemdoc_mathjax" target="blank">jemdoc+MathJax</a>.
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