Haozhu Wang
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolHaozhu Wang is an AI researcher and Member of Technical Staff based in the San Francisco Bay Area with a decade of experience advancing LLMs, reasoning, alignment, and reinforcement learning. He has driven foundation-model development and post-training techniques across AWS Bedrock, Meta’s GenAI and Superintelligence Labs, and now pushes reasoning frontiers at xAI. His work spans LLM distillation, preference alignment, inference-time scaling, automatic prompt optimization, and model routing—practical research that has been deployed into large-scale GenAI services. A PhD-trained engineer from the University of Michigan, he combines rigorous academic publication and mentorship experience with hands-on product-facing ML systems. Notably, he contributed to Amazon’s Titan models and has published and patented RL and design automation research prior to focusing full-time on large-model reasoning. Colleagues describe him as a researcher who bridges deep theory and production-ready alignment engineering.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at University of Michiganvisiting undergraduate student Electrical and Electronics Engineering, visiting undergraduate student Electrical and Electronics Engineering at Massachusetts Institute of TechnologyBachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at Tianjin UniversityBachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at Nankai University
Chinese, English
Stackoverflow
41reputation
314reached
0answers
1question
Github Skills (44)
py10
gaussian-processes9
survival-analysis9
cox-regression9
physics-engine8
optimization8
python8
reinforcement-learning8
statistics8
mujoco8
algorithms7
black-formatter7
multi-task-learning7
opengl-es6
android-mediaplayer6
Programming languages (7)
Github contributions (5)
hammer-wang/oml-ppo
Mar 2020 - Jul 2021
Deep Reinforcement Learning for Optical Design
Contributions:1 release, 13 commits, 12 pushes in 1 year 3 months
deep-reinforcement-learningreinforcement-learningopticssequence-generationpytorch
hammer-wang/RL_literature
Sep 2020 - Aug 2021
Contributions:58 commits, 59 pushes, 1 branch in 11 months
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