Raghav Singal

Professor Singal’s primary research interest is in the area of analytics. He investigates revenue-management applications in e-commerce and online advertising, as he aims to build data-driven models that help businesses understand complex systems and optimize decision-making. Singal worked in data science at Amazon, where he developed models for supply-chain attribution. He has previously developed online-advertising attribution models as a data-scientist intern at Adobe. Singal has also played tennis at a national level.

CURRENT RESEARCH TOPICS

Analytics, revenue-management applications in e-commerce and online advertising, data-driven models in systems and decision-making

AWARDS

• Cheung-Kong Graduate School of Business Fellowship, Columbia University, 2019, 2018
• Outstanding Teaching Assistant Award, Columbia University, 2018
• INFORMS Jeff McGill Revenue Management and Pricing Student Paper Award, 2018
• Highly Commended, The Undergraduate Awards, 2015
• Best Poster Award at MIE Research Symposium, University of Toronto, 2015
• MIE Summer Award, University of Toronto, 2015
• Dan Cornacchia/Ernst & Young Scholarship, University of Toronto, 2013
• University of Toronto Excellence Award, 2013
• University of Toronto Scholar, 2011