Hao Wu
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHao Wu is an applied scientist with 11 years of experience specializing in post-training LLMs, agentic AI, and Bayesian inference, currently building AI agents for Amazon Ads and AWS developer tooling. He holds a Ph.D. from Northeastern University with top-tier publications in Bayesian inference and deep generative models, and has driven research-to-product transitions at Google, VERSES, and industry labs. Hao combines probabilistic programming and cognitive-inspired models—authoring a JAX-based PPL—for scalable, data-efficient inference methods that improved tracking and generation performance in prior research. Known for translating rigorous research into high-impact products, he blends deep math training (Applied Math and CS masters) with practical engineering to ship agentic systems and inference libraries in production.
11 years of coding experience
2 years of employment as a software developer
Master of Science Applied Mathematics, Master of Science Applied Mathematics at University of WashingtonBachelor of Science Mathematics, Bachelor of Science Mathematics at Sichuan UniversityDoctor of Philosophy Computer Science, Doctor of Philosophy Computer Science at Northeastern UniversityMaster of Science Computer Science, Master of Science Computer Science at University of Virginia
Github Skills (16)
statistics10
stochastic-processes10
sampling10
statsmodels10
machine-learning9
generative8
stylegan7
density-estimation6
probabilistic6
probabilistic-models5
deep-learning4
probabilistic-graphical-models4
pytorch4
probabilistic-programming3
variational-inference3
Programming languages (3)
Github contributions (5)
hao-w/hao-w.github.io
Oct 2020 - Oct 2024
personal site
Contributions:2 PRs, 77 pushes in 4 years
reactnextjs
hao-w/cebm
Jul 2020 - Apr 2022
Contributions:209 commits, 5 pushes, 1 branch in 1 year 8 months
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