Dengwang Tang
Applied Researcher at eBay
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolDengwang Tang is an applied researcher with 11 years of experience blending rigorous theory and practical ML for decision-making in dynamic systems, currently developing applied AI to improve search at eBay. With a PhD from the University of Michigan and postdoctoral work at Berkeley and USC, he focuses on interpretable, safe, and principled reinforcement learning across single- and multi-agent settings, as well as game-theoretic solutions like correlated equilibria. His background spans from LRU caching and load balancing to anomaly detection with LSTMs at Google, illustrating a rare mix of systems intuition and formal analysis. Comfortable teaching probability at the graduate level and building prototype mechanisms and tooling, he brings both academic depth and production-oriented research to applied AI problems.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.00, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.00 at University of MichiganBachelor of Science (BS), Electrical and Computer Engineering, 3.81, Bachelor of Science (BS), Electrical and Computer Engineering, 3.81 at Shanghai Jiao Tong University
Chinese, English, French
Github Skills (4)
algorithms8
python8
scipy8
scientific-computing8
Programming languages (1)
Github contributions (5)
dwtang/scarf
Jul 2019 - Feb 2023
Contributions:15 commits, 4 pushes, 1 branch in 3 years 7 months
dwtang/dwtang.github.io
Jan 2023 - Sep 2024
A truly simple website template for academics
Contributions:27 pushes in 1 year 8 months
templateacademicssimple-website
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