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@@ -77,15 +78,15 @@ <h2 style="font-size: 1rem; margin-top: -20px; color: #888">Zhengde Zhao</h2> | |
<h2 id="about-me">About Me</h2> | ||
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<!--Introducation! Part --> | ||
<p>I am Theodore (Zhengde) Zhao, a Senior Applied Scientist at <a href="https://www.microsoft.com/" target="_blank" rel="noopener">Microsoft</a>, Health and Life Sciences Research. Currently, I focus on creating state of the art foundation models for healthcare AI. Some of my recent work includes:</p> | ||
<p>I am Theodore (Zhengde) Zhao, a Senior Applied Scientist at <a href="https://www.microsoft.com/" target="_blank" rel="noopener">Microsoft, Health and Life Sciences Research</a>. Currently, I focus on creating state of the art foundational models for healthcare AI. Some of my recent work includes:</p> | ||
<ul> | ||
<li><strong>Large Multimodal Foundation Model:</strong> Biomedical Image Analysis, Segmentation, Generation </li> | ||
<li><strong>Machine Learning:</strong> Time Series Modelling, Self-Superversion, Error Detection </li> | ||
<li><strong>Large Multimodal Foundation Model:</strong> Image Analysis, Segmentation </li> | ||
<li><strong>Machine Learning:</strong> Time Series, Self-Superversion, Error Detection </li> | ||
<li><strong>LLMs For Healthcare:</strong> Cancer Diagnosis and Registration </li> | ||
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</ul> | ||
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<p>I received my PhD and Master degree in Applied Mathematics from <a href="https://www.washington.edu/" target="_blank" rel="noopener">University of Washington </a>, advised by <a href="https://sites.google.com/site/timleungresearch/" target="_blank" rel="noopener">Prof. Tim Leung</a>. I also worked for Microsoft, Harborview Medical Center, Rotella Capital Management, Parametric as an intern. Prior to this, I received my Bachelor degree in Physics from <a href="https://www.fudan.edu.cn/en/" target="_blank" rel="noopener">Fudan University</a> in Shanghai, China.</p> | ||
<p>I received my PhD and Master degree in Applied Mathematics from <a href="https://www.washington.edu/" target="_blank" rel="noopener">University of Washington </a>, advised by <a href="https://sites.google.com/site/timleungresearch/" target="_blank" rel="noopener">Prof. Tim Leung</a>. I also worked for Microsoft, Harborview Medical Center, Rotella Capital Management, Parametric as an Intern. Prior to this, I received my Bachelor degree in Physics from <a href="https://www.fudan.edu.cn/en/" target="_blank" rel="noopener">Fudan University</a> in China.</p> | ||
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<!-- News Part --> | ||
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@@ -94,8 +95,8 @@ <h2 id="news">News</h2> | |
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<ul> | ||
<!-- Check!! --> | ||
<li><strong>[May. 2024]</strong> We released <a href="https://aka.ms/biomedparse-project" target="_blank" rel="noopener">BiomedPrase</a>, a biomedical foundation model for image parsing of everything everywhere all at once!</li> | ||
<li><strong>[May. 2024]</strong> Our paper on <a href="https://arxiv.org/pdf/2306.16564 ">Pareto Optimal Learning</a> is accepted to <a href="https://2024.aclweb.org/">ACL 2024</a>, See you in Bangkok!</li> | ||
<li><strong>[May. 2024]</strong> We released <a href="https://microsoft.github.io/BiomedParse/" target="_blank" rel="noopener">BiomedPrase</a>, a biomedical foundation model for image parsing of everything everywhere all at once!</li> | ||
<li><strong>[May. 2024]</strong> Our paper about <a href="https://arxiv.org/pdf/2306.16564 ">Pareto Optimal Learning</a> is accepted to <a href="https://2024.aclweb.org/">ACL 2024</a>, See you in Bangkok!</li> | ||
</ul> | ||
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<!-- Publications!! --> | ||
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<li> | ||
<div class="pub-row row"> | ||
<div class="col-sm-3 abbr"> | ||
<img src="./assets/img/CT-Abdomen_short.mp4" class="teaser img-fluid z-depth-1" alt="Publication Teaser Image"> | ||
<img src="./assets/img/CT-Abdomen_short.gif" class="teaser img-fluid z-depth-1" alt="Publication Teaser Image"> | ||
</div> | ||
<div class="col-sm-9"> | ||
<div class="title"><a href="arvis的链接">BiomedPrase: <br>a biomedical foundation model for image parsing of everything everywhere all at once</a></div> | ||
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--> | ||
</div> | ||
<div class="description mt-2"> | ||
<em>We demonstrate the Pareto optimal learning can be utilized to estimate LLM error and increase the end performance, surpassing state-of-the-art task specific models.</em> | ||
<em>We demonstrate the proposed method can be utilized to increase the performance of an LLM, surpassing state-of-the-art task specific models.</em> | ||
</div> | ||
</div> | ||
</div> | ||
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@@ -274,11 +275,11 @@ <h4 id="fun">In my free time, I love stargazing and have recently started making | |
</li> | ||
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<p><strong>For Mom: Happy Birthday!</strong></p> | ||
<audio id="audio3" src="./assets/music/Formom.m4a"></audio> | ||
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<i class="fas fa-play"></i> <span>Play</span> | ||
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<i class="fas fa-pause"></i> <span>Pause</span> | ||
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<h3 id="collaborations" > <u>If my research/music/cat interests you, <a href="mailto:[email protected]">send me an email! </a>I'm always open to collaborations and discussions.🍺</u> | ||
<h3> | ||
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<script src="https://kit.fontawesome.com/a076d05399.js" crossorigin="anonymous"></script> | ||
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<p><small>If my research/music/cat interests you, <a href="mailto:[email protected]">send me an email! </a>I'm always open to collaborations and discussions. </a> </small></p> | ||
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</section> | ||
<footer> | ||
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</footer> | ||
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<p id="footer"><small>© 2024 Theodore Zhao.</small> </p> | ||
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