Upcoming/Recent Talks

Peer Review Market Design: Effort-Based Matching and Admission Control
  • ISB (Hyderabad): Feb 28
  • ACMS (Dartmouth): May 6 2:30-3:30 PM
  • INFORMS (Atlanta): TBD

Bounding Counterfactual Outcomes of Health Insurance Delay-and-Deny Practices
  • MSOM Healthcare SIG (London): June 27

Education

Ph.D. in Operations Research
2015 - 2020
Columbia University
CKGSB Fellow

B.A.Sc. in Industrial Engineering
2010 - 2015
University of Toronto
Ranked 1 (out of 100 students)

Working Papers

Peer Review Market Design: Effort-Based Matching and Admission Control
Craig Fernandes, James Siderius, and Raghav Singal
Under review
[SSRN]

Online Matching with Heterogeneous Supply and Minimum Allocation Guarantees
Garud Iyengar and Raghav Singal
Under revision
[SSRN]

Bounding Counterfactual Outcomes of Health Insurance Delay-and-Deny Practices
Martin Haugh and Raghav Singal
Under revision
[SSRN]

Churning While Experimenting: Maximizing User Engagement in Recommendation Platforms
Michael Hamilton and Raghav Singal
Under revision
[SSRN]

A Counterfactual Analysis of the Dishonest Casino
Martin Haugh and Raghav Singal
Under review
[arXiv] [Code]

Journal Publications

Workforce Scheduling with Heterogeneous Time Preferences: Effective Wages and Workers' Supply
Omar Besbes, Vineet Goyal, Garud Iyengar, and Raghav Singal
Manufacturing & Service Operations Management, 2024
[Journal] [SSRN] [Video] [Press]

Axiomatic Effect Propagation in Structural Causal Models
Raghav Singal and George Michailidis
Journal of Machine Learning Research, 2024
[Journal]

Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
Garud Iyengar and Raghav Singal
Production and Operations Management, 2024
[Journal] [arXiv] [Code]

Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising
Raghav Singal, Omar Besbes, Antoine Desir, Vineet Goyal, and Garud Iyengar
Management Science, 2022
[Journal] [SSRN] [Video] [Press]

How to Play Fantasy Sports Strategically (and Win)
Martin Haugh and Raghav Singal
Management Science, 2021
[Journal] [SSRN] [Video] [Press]

A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation
Jalaj Bhandari, Daniel Russo, and Raghav Singal
Operations Research, 2021
[Journal] [arXiv]

A Bayesian Regression Approach to Handicapping Tennis Players Based on a Rating System
Timothy C. Y. Chan and Raghav Singal
Journal of Quantitative Analysis in Sports, 2018
[Journal] [PDF] [TennisNeutral]

A Markov Decision Process-Based Handicap System for Tennis
Timothy C. Y. Chan and Raghav Singal
Journal of Quantitative Analysis in Sports, 2016
[Journal] [PDF]

Peer-Reviewed Conference Proceedings

Churning While Experimenting: Maximizing User Engagement in Recommendation Platforms
Michael Hamilton and Raghav Singal
WINE, accepted

Counterfactual Analysis in Dynamic Latent State Models
Martin Haugh and Raghav Singal
ICML, 2023
[ICML] [Video] [Press]

Flow-Based Attribution in Graphical Models: A Recursive Shapley Approach
Raghav Singal, George Michailidis, and Hoiyi Ng
ICML (spotlight), 2021
[ICML] [SSRN] [Video]

Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising
Raghav Singal, Omar Besbes, Antoine Desir, Vineet Goyal, and Garud Iyengar
WWW, 2019
[WWW]

A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation
Jalaj Bhandari, Daniel Russo, and Raghav Singal
COLT (extended abstract), 2018
[COLT]

Contributions to Other Research Projects

Reproducibility in Management Science
Fisar, Greiner, Huber, Katok, Ozkes, and the Management Science Reproducibility Collaboration
Management Science, 2024
Note: Member of the Management Science Reproducibility Collaboration
[Journal] [SSRN]

Teaching

Instructor
Analytics, MBA (Dartmouth), Rated 5.71/6, 2021 -
Optimization Models and Methods, MS (Columbia), Rated 4.50/5, 2019

Co-instructor
Introduction to Algorithms, SHP (Columbia), 2018
Graph Theory by Example, SHP (Columbia), 2018

Case: Analytics in American Football: A New Frontier
C. Daniel Guetta, Raghav Singal, and John Wolfe
Columbia CaseWorks, 2020
Used in the Business Analytics II elective at Columbia Business School

Awards

Wei-Chung Bradford Hu T'89 Faculty Fellow (2023)

2nd place in Michael H. Rothkopf Junior Researcher Paper Prize (2022)

Harvey H. Bundy III T'68 Faculty Fellow (2022)

Finalist in RMP Data-Driven Research Challenge (2020)

2nd place in RMP Jeff McGill Student Paper Award (2019) [Press]

Finalist in MIT Sloan Sports Analytics Conference Research Paper Competition (2018)

Highly Commended by The Undergraduate Awards (2015) [Press]

University of Toronto Excellence Award (2013)