Rahul Roy
Rahul Roy
Assistant Professor (Tenure-Track)
Assistant Professor (Tenure-Track)
Operations & Business Analytics
Operations & Business Analytics
IE Business School, IE University
IE Business School, IE University
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About
About
I am an Assistant Professor (Tenure-Track) of Operations and Business Analytics at IE Business School, IE University. I obtained my Ph.D. in Business Administration (May 2026), specializing in Operations, from the Kenan-Flagler Business School at the University of North Carolina at Chapel Hill, where I was the Harvey Wagner OM Scholar in Operations and was jointly advised by Profs. Nur Sunar and Jayashankar M. Swaminathan.
I am an Assistant Professor (Tenure-Track) of Operations and Business Analytics at IE Business School, IE University. I obtained my Ph.D. in Business Administration (May 2026), specializing in Operations, from the Kenan-Flagler Business School at the University of North Carolina at Chapel Hill, where I was the Harvey Wagner OM Scholar in Operations and was jointly advised by Profs. Nur Sunar and Jayashankar M. Swaminathan.
My research lies at the intersection of technology, energy, and sustainability, with a focus on system design and operations in data-rich, digitally mediated, and energy-intensive environments. I primarily use empirical methods—drawing on machine learning, econometrics, and causal inference—to study emerging energy technologies, such as online solar marketplaces and EV smart charging, and examine how they can be improved, better operated, and more effectively implemented in real-world settings. Specifically, I study how these systems function in practice, particularly in relation to user behavior, market design, and broader social and climate goals.
My research lies at the intersection of technology, energy, and sustainability, with a focus on system design and operations in data-rich, digitally mediated, and energy-intensive environments. I primarily use empirical methods—drawing on machine learning, econometrics, and causal inference—to study emerging energy technologies, such as online solar marketplaces and EV smart charging, and examine how they can be improved, better operated, and more effectively implemented in real-world settings. Specifically, I study how these systems function in practice, particularly in relation to user behavior, market design, and broader social and climate goals.
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My dissertation Optimizing and Sustaining Platforms: Thickness, Fairness, and Two-Way Learning has been selected as one of the finalists for the 2026 INFORMS TIMES Best Dissertation Competition.
I graduated with my Ph.D. in Business Administration, specializing in Operations, from the Kenan-Flagler Business School at the University of North Carolina at Chapel Hill in May 2026.
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