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Faculty Directory

Raghav Singal

Assistant Professor of Business Administration; Harvey H. Bundy III T’68 Faculty Fellow

Email

raghav.singal@tuck.dartmouth.edu

Phone

603-646-0975

Personal Website

http://www.columbia.edu/~rs3566/

Degree

PhD, Columbia University, 2020; BASc, University of Toronto, 2015

Areas of Expertise

Analytics, decision-making, modeling

Courses

Analytics

Bio

Professor Singal’s research focuses on analytics in a mix of marketplaces, including transportation, labor, sports, and advertising. He leverages data to develop application-driven models that help businesses evaluate current systems and optimize decision-making. Outside academia, Singal enjoys playing tennis and has played at a national level.

Current Research Topics

Marketplace analytics, data-driven modeling and optimization, attribution


Professional Activities

Academic positions

  • Assistant Professor of Business Administration, Tuck School of Business, 2021–present

Nonacademic positions

  • Data Scientist Intern (Supply Chain Optimization Technologies), Amazon, 2020–21
  • Data Scientist Intern (Media and Advertising Solutions), Adobe, 2017
  • Quantitative Research Co-op (Asset Mix and Risk), Ontario Teachers’ Pension Plan, 2013–14

Editorial positions

  • Reviewer,  Management Science,  Operations Research,  Production and Operations Management, and  Transportation Science


Awards

  • Finalist in RMP Data-Driven Research Challenge, 2021
  • INFORMS Jeff McGill Revenue Management and Pricing Student Paper Award, 2019
  • Cheung-Kong Graduate School of Business Fellowship, Columbia University, 2019, 2018
  • Outstanding Teaching Assistant Award, Columbia University, 2018
  • Highly Commended, The Undergraduate Awards, 2015
  • University of Toronto Excellence Award, 2013

Working Papers

  • With G. Michailidis and H. Ng, “Flow-based Attribution in Graphical Models: A Recursive Shapley Approach”
  • With O. Besbes, V. Goyal, and G. Iyengar, “Effective Wages under Workforce Scheduling with Heterogeneous Time Preferences”
  • With M. B. Haugh, “Counterfactual Analysis in Dynamic Models: Copulas and Bounds”

Selected Publications

  • With O. Besbes, A. Desir, V. Goyal, and G. Iyengar, “Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising,” Management Science, forthcoming
  • With J. Bhandari and D. Russo, “A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation,” Operations Research, 69(3), 2021
  • With M. B. Haugh, “How to Play Fantasy Sports Strategically (And Win),” Management Science, 67(1), 2020
  • With T. C. Y. Chan, “A Bayesian Regression Approach to Handicapping Tennis Players Based on a Rating System,” Journal of Quantitative Analysis in Sports, 14(3), 2018
  • With T. C. Y. Chan, “A Markov Decision Process-based Handicap System for Tennis,” Journal of Quantitative Analysis in Sports, 12(4), 2016