Gary Qiurui
Grad Student at Harvard University Graduate School of Arts and Sciences
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolGary Qiurui is a PhD candidate in Computer Science at Harvard with nine years of research and industry experience at the intersection of economics and computation. He focuses on computing Nash equilibria via Empirical Game-Theoretic Analysis, no-regret learning, and bandit methods, combining theoretical insight with practical systems work (e.g., migrating EgtaOnline to cluster infrastructure). His background spans strategic reasoning research at Michigan, genomics-focused ML at UCLA, autonomous-driving RL at SenseTime, and applied forecasting in shipping, reflecting a rare blend of theoretical rigor and production-minded implementation. A meticulous observer and philosophical thinker, he seeks research problems that add measurable societal value rather than business novelty alone.
9 years of coding experience
1 year of employment as a software developer
Undergraduate Business Administration, Computer Science, 3.838/4.40, Undergraduate Business Administration, Computer Science, 3.838/4.40 at University of MichiganPhD Candidate, Computer Science, PhD Candidate, Computer Science at Harvard University Graduate School of Arts and SciencesHong Kong University of Science and Technology (HKUST)
Chinese, Chinese, English
Github Skills (18)
monte-carlo-tree-search9
planning9
q-learning8
cpp8
python8
markov-decision-processes8
reinforcement-learning8
game-theory7
operations-research7
gambit3
django1
pytorch1
javascript1
deep-reinforcement-learning1
openai1
Programming languages (2)
Github contributions (5)
qmaai/machine-learning-on-wearable-devices
Aug 2017 - Nov 2020
Contributions:9 commits, 5 pushes, 1 branch in 3 years 3 months
qmaai/qmaai.github.io
Nov 2020 - Dec 2020
Contributions:20 pushes, 1 branch in 1 month
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