Tao Sun is a Staff Research Scientist with a decade of experience applying ML and AI to production problems across AWS, Amazon Search, and ByteDance. He holds a PhD in Computer Science from UMass Amherst and publishes in top venues like ICML, NeurIPS, IJCAI, and ICRA, blending rigorous probabilistic modeling with practical system-building. His work spans deep reinforcement learning for autonomous driving, offline RL for search, deep generative models for music, and multi-objective optimization for ranking—demonstrating unusual breadth across perception, sequential decision-making, and creative generation. Known as a data-driven problem solver and collaborative deep-diver, he consistently translates cutting-edge research into deployable solutions at scale. Based in Seattle, he brings both academic pedigree and hands-on industry impact, with a track record of shipping measurable improvements in high-stakes, user-facing systems.
10 years of coding experience
12 years of employment as a software developer
PhD Artificial Intelligence Machine Learning, PhD Artificial Intelligence Machine Learning at Oregon State University
Ms/ PhD Artificial Intelligence, Ms/ PhD Artificial Intelligence at University of Massachusetts Amherst
M.Eng Microelectronics Video Processing, M.Eng Microelectronics Video Processing at Tsinghua University
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