Hongyuan Mei

Member Of Technical Staff at xAI

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Hongyuan Mei is a seasoned ML researcher and software engineer based in the San Francisco Bay Area, with nearly a decade of experience designing and deploying AI systems. He is currently a Member of Technical Staff at xAI, where he helps Grok become a knowledgeable reasoner and focuses on RL data, training, and efficient test-time compute. Prior roles include Senior Research Scientist at Google DeepMind and Research Assistant Professor at TTIC, reflecting a strong blend of academic rigor and industry impact. His research centers on modeling sequential data for time-stamped event prediction and natural language understanding, backed by a PhD in Computer Science from Johns Hopkins and master's degrees in Computer Science & Statistics and Financial Mathematics from the University of Chicago, plus a BE from Huazhong University of Science and Technology. With a track record across TTIC, Microsoft, Bloomberg, and other institutions, he bridges theory and production and maintains an active research webpage at hongyuanmei.com.
code10 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Johns Hopkins University
bookBachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, 88, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, 88 at Huazhong University of Science and Technology
bookMaster’s Degree, Computer Science and Statistics, Master’s Degree, Computer Science and Statistics at The University of Chicago
bookMaster of Science (M.S.), Financial Mathematics, 3.88, Master of Science (M.S.), Financial Mathematics, 3.88 at University of Chicago
languagesEnglish, Chinese
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Stackoverflow

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Github Skills (43)

python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
nearest-neighbors9
similarity9
clustering9
cosine-similarity8

Programming languages (4)

C++JavaScriptHTMLPython

Github contributions (5)

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A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:1 PR, 80 pushes in 3 years 7 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
hongyuanmei/neurawkes

Oct 2017 - Sep 2021

Contributions:8 commits, 8 pushes, 1 branch in 4 years
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