Sean Sinclair
Assistant Professor at Northwestern University
Evanston, Illinois, United States
Summary
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Senior🎓
Top SchoolSean Sinclair is an Assistant Professor in Industrial Engineering and Management Sciences at Northwestern University, specializing in data-driven sequential decision making and algorithmic reinforcement learning with an operations-management lens. He holds a PhD from Cornell and completed a postdoc at MIT under Devavrat Shah and Ali Jadbabaie, focusing on models that explicitly handle data uncertainty and multiple objectives. His research delivers instance-specific optimal regret bounds for nonparametric RL, Pareto-optimal fair resource allocation, and data-efficient cloud compute allocation algorithms. Sean blends theory with practice by developing open-source instrumentation and empirical methodologies to evaluate multi-criteria algorithm performance. Prior roles include a research internship at Microsoft Research and earlier experience in finance and secondary math education, highlighting a rare mix of rigorous theory, applied systems work, and real-world stakeholder experience. Based in Evanston, he brings 11 years of interdisciplinary experience bridging reinforcement learning, operations research, and measurable societal impact.
11 years of coding experience
Doctor of Philosophy - PhD, Operations Research and Information Engineering, Doctor of Philosophy - PhD, Operations Research and Information Engineering at Cornell UniversityBachelor of Science - BS, Honours Mathematics and Computer Science, Bachelor of Science - BS, Honours Mathematics and Computer Science at McGill University
Github Skills (3)
intermediate10
textbook10
logic10
Programming languages (3)
Github contributions (5)
seanrsinclair/RLinOperations
Jul 2022 - Aug 2022
Contributions:20 commits, 30 pushes, 1 branch in 14 days
seanrsinclair/Online-Resource-Allocation
Aug 2022 - Dec 2024
Contributions:6 pushes, 1 branch in 2 years 4 months
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