Srikanth Jagabathula is Associate Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University. He is also affiliated with the NYU Center for Data Science. He received the PhD degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and held the Visiting Associate Professor position in the Technology and Operations Management Unit at the Harvard Business School in 2017-18.
His research lies at the intersection of machine learning and operations management. His work has focused on estimating large-scale demand models from choice data (e.g., sales transactions data) and then making operational decisions, such as assortment and price decisions (what to offer and what prices to charge). His methods have been applied in crowdsourcing, e-commerce, brick-and-mortar retail, and online platform settings. More recently, he has been interested in applying ideas from reinforcement learning and interpretable ML techniques to improve business decision-making.
Srikanth has received six "Best Paper" awards and nominations, a CAREER award from the National Science Foundation, the POMS Wickham-Skinner Early Career Researcher Award, and the IIT Bombay President of India Gold Medal. He was also recognized by Poets & Quants as one of the “40 Best Business Professors Under 40.”