Raghav Singal

Raghav Singal is an Assistant Professor in the Operations and Management Science group at the Tuck School of Business, Dartmouth College. His research bridges analytics, modeling, and optimization, with a focus on application-driven solutions for complex systems. Recent work includes peer review market design, healthcare insurance analysis, and user engagement optimization in recommendation platforms.

• Education: Ph.D. in Operations Research (Columbia University, 2020), B.A.Sc. in Industrial Engineering (University of Toronto, 2015).

His research spans machine learning, causal inference, and game theory, with applications in sports analytics, digital advertising, and healthcare operations. Articles highlight both theoretical rigor and practical impact, from fantasy sports strategy to health insurance policy evaluation.

• Scientific Awards: MBA Core Teaching Excellence (2025), Best 40-Under-40 MBA Professors (2025), Wei-Chung Bradford Hu Fellowship (2023), Michael H. Rothkopf 2nd Place (2022), Harvey H. Bundy Fellowship (2022), RMP Data-Driven Challenge Finalist (2020), RMP Jeff McGill 2nd Place (2019), MIT Sloan Sports Analytics Finalist (2018), The Undergraduate Awards Commendation (2015), University of Toronto Excellence Award (2013).

As an instructor at Dartmouth, he teaches Analytics (MBA core, rated 5.71/6) and the upcoming Data, Models, and Decisions (MBA elective, 2025). He previously taught optimization and algorithms at Columbia University.

Outside academia, Singal enjoys tennis, CrossFit, and skiing. He plans to present research at INFORMS (Atlanta) and RMP (NYC) conferences in summer 2025, with a focus on peer review market design and health insurance analysis.