Scholar
Sean R. Sinclair
Google Scholar ID: gu2noOcAAAAJ
Northwestern University
Citations & Impact
Citations
336
H-index
9
i10-index
8
Publications
16
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- September 2025: Preprint of our paper 'Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way' is available on arXiv
- August 2025: Preprint of our paper 'Reinforcement Learning in MDPs with Information-Ordered Policies' is available on arXiv
- December 2024: Preprint of our paper 'The Data-Driven Censored Newsvendor Problem' is available on arXiv
- August 2024: Preprint of our paper 'Multi-Objective LQR with Linear Scalarization' is available on arXiv
- July 2024: Started my position at Northwestern University in IEMS. Please reach out if you are in the area!
- February 2024: Preprint of our paper 'Online Fair Allocation of Perishable Resources' is on SSRN!
- October 2023: Awarded a finalist for the George Dantzig PhD Dissertation award!
- August 2023: Started my postdoc position at MID in Lids advised by Devavrat Shah and Ali Jadbabaie. Please reach out if you are in the Boston area and want to talk!
- May 2023: My paper, 'Hindsight Learning in MDPs with Exogenous Inputs' was accepted in ICML 2023!
- April 2023: My paper, 'Online Fair Allocation of Perishable Resources' was accepted in SIGMETRICS 2023!
- March 2023: Accepted a postdoc position at MIT in LIDS advised by Devavrat Shah and Ali Jadbabaie!
- February 2023: Accepted a position at Northwestern University in the Industrial Engineering and Management Science department as an assistant professor starting Fall 2024!
- October 2022: My papers 'Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve' and 'Adaptive Discretization in Online Reinforcement Learning' were accepted to Operations Research!
- September 2022: My paper, 'Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve' is a finalist for the 2022 INFORMS DEI Best Student Paper Award!
- August 2022: On August 23 I will be speaking at the Data Driven Decision Processes Bootcamp on Online Reinforcement Learning and Regret.
Background
- Currently an Assistant Professor at Northwestern University in the Industrial Engineering and Management Sciences department. His research focuses on developing algorithms for data-driven sequential decision making in societal applications, bridging algorithmic techniques in reinforcement learning to an operations management perspective with an emphasis on models, data uncertainty, and objectives.
Miscellany
- Personal interests not mentioned
