Zizhao Chen
Graduate Student
United States
Summary
👤
Senior🎓
Top SchoolZizhao Chen is a graduate student and software engineer with eight years of experience building research-oriented systems and production software, most recently at Google and now at Cornell University. He blends strong applied math and systems skills—evidenced by contributions to google-research/dex-lang where he implemented Cholesky and LU decompositions and a Gaussian process demo—with practical engineering experience from internships and roles at YouTube and Google. Comfortable in both research and production settings, he has a track record of improving correctness and core libraries for array-processing languages and demos like MCTS. His background as a teaching assistant and multiple research stints at the University of Toronto underline an ability to communicate complex ideas and mentor others. Based in the United States, he brings a rare combination of numerical linear algebra expertise and hands-on backend development to ML and systems projects.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Applied Science - BASc, Bachelor of Applied Science - BASc at University of Toronto
English, Chinese
Github Skills (5)
decompose10
deco10
matrix-decomposition10
linear-algebra10
decomposition10
Programming languages (8)
Github contributions (5)
google-research/dex-lang
Aug 2021 - Oct 2022
Research language for array processing in the Haskell/ML family
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 reviews, 12 commits, 3 PRs in 1 year 2 months
Contributions summary:Zizhao primarily contributed to the `dex-lang` repository by modifying and expanding the linear algebra library (`lib/linalg.dx`), which suggests a focus on the core functionality of the research language. Their work included implementing Cholesky decomposition, and LU decomposition, and related mathematical operations. They also added a demo for Gaussian process regression and integrated the new linear algebra functions into the demo, further developing the language's capabilities. Furthermore, the user improved the MCTS demo, focusing on code improvements and correctness.
arrayhomotopy-type-theoryautomatic-differentiationhaskellarray-processing
chenzizhao/dex-lang
May 2021 - Oct 2022
Research language for array processing in the Haskell/ML family
Contributions:106 pushes, 48 branches, 2 tags in 1 year 5 months
arraydatamininghaskellmlarray-processing
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