Chenyang Tao
Applied Scientist at Amazon
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolChenyang Tao is an applied scientist with nine years of experience bridging rigorous theory and practical machine learning, currently building ML solutions at Amazon after a senior research role at Duke. He holds a Ph.D. in Applied Mathematics and has authored 10+ papers in top-tier venues (NeurIPS, ICML, ICLR, ACL), with research spanning generative modeling, causal and variational inference, kernel methods, and decentralized learning. At Duke he advised over 10 Ph.D. students and translated theoretical insights into applied systems for NLP, graph embedding, and survey imputation. Known for combining deep mathematical tools (e.g., thermodynamic variational bounds and Fenchel minimax formulations) with pragmatic engineering, he also established HPC infrastructure early in his career. Based in Sunnyvale, he brings both academic rigor and industry execution to complex, data-driven problems.
9 years of coding experience
5 years of employment as a software developer
Postdoc, Electrical & Computer Engineering, Postdoc, Electrical & Computer Engineering at Duke UniversityBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Fudan UniversityVisiting PhD, Computer Science & Statistics, Visiting PhD, Computer Science & Statistics at University of Warwick
Chinese, English
Github Skills (3)
backend5
python3
numpy1
Github contributions (5)
DannieLu/BV-NICE
Jan 2021 - Jan 2021
Contributions:41 commits, 41 pushes in 1 day
chenyang-tao/FML
Oct 2019 - Dec 2019
Contributions:15 commits, 14 pushes, 1 branch in 1 month
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