Tao Hu
Machine Learning Engineer at Meta
South San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTao Hu is a Machine Learning Engineer at Meta with 11 years of experience bridging ML research and production software engineering, backed by a Ph.D. in Statistics & Bioinformatics. He builds end-to-end ML solutions—from GANs and CNNs to reinforcement learning and ensemble methods—and has applied these techniques to clinical trials, biomarker analysis, and bioinformatics problems. Comfortable with both research rigor and production constraints, he has a strong background in statistical modeling, parallel computing, and data visualization tools that make complex results interpretable for stakeholders. Based in South San Francisco, he is deeply interested in artificial general intelligence and brings a rare combination of academic depth and hands-on engineering across NLP, computer vision, and RL.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics & Bioinformatics, 3.97/4.00, Doctor of Philosophy - PhD, Statistics & Bioinformatics, 3.97/4.00 at North Carolina State UniversityBachelor of Engineering - BE, Bioinformatics, Bachelor of Engineering - BE, Bioinformatics at Huazhong University of Science and Technology
English, Chinese
Github Skills (6)
meta-tags10
metadata8
variance8
julia8
gwas8
react5
Programming languages (1)
Github contributions (5)
Tao-Hu/VarianceComponentTest.jl
Mar 2015 - Dec 2015
Contributions:65 commits, 1 PR, 26 pushes in 9 months
variance-componentreactvariancegwas
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