معرفی
Raghav Singal is an Associate Professor of Business Administration at the Tuck School of Business, Dartmouth College, specializing in analytics, optimization, and marketplace design. His research focuses on applying analytical models to transportation, labor, sports, and advertising sectors. He holds a PhD in Operations Research from Columbia University (2020) and a BASc in Industrial Engineering from the University of Toronto (2015).
Education:
- PhD in Operations Research, Columbia University (2015–2020)
- BASc in Industrial Engineering, University of Toronto (2010–2015)
Research interests span peer review market design, healthcare insurance practices, and optimization in recommendation systems. His work bridges theoretical models with practical applications, such as improving workforce scheduling and fantasy sports strategies. Notable contributions include developing Shapley-based attribution frameworks for online advertising and analyzing counterfactual outcomes in healthcare denial practices.
Teaching roles include the MBA core Analytics course (rated 5.71/6) and the new elective Data, Models, and Decisions. He has received multiple awards, including the 2025 Poets&Quants Best 40-Under-40 Professors recognition and Tuck’s teaching excellence award.
Recent talks focus on peer review market mechanisms and health insurance counterfactual analysis. His lab explores frontiers in recommendation systems and dynamic market design.
