Xiao Wu

New York, New York, United States

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Summary

🤩

Rockstar

🎓

Top School

Xiao Wu is a quantitative researcher and biostatistician based in New York with seven years of experience at the intersection of health AI, causal inference, and Bayesian/nonparametric methods. Currently an Assistant Professor at Columbia and a Quantitative Scientist on Meta's Health AI team, Xiao blends academic rigor—PhD training and postdocs at Harvard and Stanford—with industry-facing evaluation and benchmark curation for large language models in healthcare. A Forbes 30 Under 30 honoree, Xiao has a track record of translating complex statistical theory into practical tools for spatio-temporal and clinical research and has contributed to methodological advances in adaptive Bayesian designs and network-interference experimentation. Fluent in both quantitative research and applied product evaluation, Xiao’s work uniquely bridges rigorous causal methods and real-world health AI assessment, and their bilingual outlook (Chinese-English) and multidisciplinary training in law and math hint at a rare combination of technical depth and broader regulatory and ethical awareness.

7 years of coding experience

5 years of employment as a software developer

Mathematics and Statistics, Mathematics and Statistics at University of California, Berkeley

Master of Science (M.S.), Biostatistics, Master of Science (M.S.), Biostatistics at Harvard T.H. Chan School of Public Health

Bachelor of Laws (LL.B.), Law, Bachelor of Laws (LL.B.), Law at Peking University

Doctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at Harvard University

Statistics, Statistics at Stanford University

Chinese, English

Github Skills (3)

pytorch8

python4

computer-vision4

Programming languages (2)

ShellPython

Github contributions (5)

2209520576/Image-Processing-Algorithm

Feb 2019 - Nov 2019

Contributions:58 commits, 59 pushes, 1 branch in 8 months

2209520576/Infrared-Dim-Target-Detection-Based-on-Human-Visual-Mechanism

Sep 2020 - Aug 2021

Contributions:18 commits, 17 pushes, 1 branch in 11 months

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