Jason Dou
Postdoc Research Fellow in AI at Harvard
jasondpku@gmail.com
LAYOUT TIPS – Home Page Variation 1 – Hero + Static Blocks
This is currently your home page, which is one of the pre-configured layout variations available to you in this site template. You can duplicate this page, and using the block editor, rearrange the design patterns, add your own content, customize the block settings, and copy/paste each of these blocks to reuse across your site. Delete or make private the other home page variations you are not using.
Hero refers to the image banner at the top of this page, which is pre-configured using the Cover Block for a landscape, high resolution image that spans full width (images should be at least 2000px wide). There is a dark backplate behind the text to account for legibility / accessibility.
Static blocks refers to the rest of the page elements, which are content blocks that faculty / researchers/ students typically have, using proper heading structure. The Featured Cards at the bottom are using Columns blocks that you can use to manually feature relevant publications, projects, media, etc.
Look through the home page variations for more design and layout inspiration:
Bio
Jason Xiaotian Dou is a postdoc research fellow at Harvard University working on artificial intelligence and medicine. He did his Ph.D. in Computer Engineering at the University of Pittsburgh/University of Pittsburgh Medical Center (UPMC). His Ph.D. dissertation is titled “Learning Effective Representation Efficiently: Models, Applications, and Metrics.” Previously He did B.S. in Computer Science from Peking University with an undergraduate thesis at Carnegie Mellon University on “A Markov Chain Approach to the Gerrymandering Problem.” He also did master study in Information Science at Cornell University. His research is in machine learning, specifically representation learning with various applications in computer vision, natural language processing, single-cell biology, mobile sensing, and healthcare. His works have appeared in AI and machine learning conferences such as AAAI, Neurips, ICML, ML4H, and ICIBM and journals like Clinical Cancer Research. His work on Internet Finance Index has been featured in news media such as Tencent, Sina, and Caixin. For more about his works please go to his website jasondou.org.
Research Interests
- Machine Learning
- Representation Learning
- Artificial Intelligence
Featured Cards
Course on research interest
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New book published on research project
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Recognized in the Harvard Gazette for research
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