Srikanth Jagabathula is the Robert Stansky Research Faculty Fellow, Associate Professor of Tech, Ops, and Stats, and Academic Director of the BS in Business, Technology, and Entrepreneurship program at the NYU Stern School of Business. He was also a Visiting Associate Professor of Tech and Ops Management at the Harvard Business School. He teaches courses on operations management and AI/ML at the undergraduate, graduate, PhD, and executive levels.

He is an expert on algorithmic retail execution.  His research focuses on using AI and ML solutions to optimize supply chain decision making for various businesses, ranging from traditional retailers and brands (e.g., pricing, promotions, assortments, inventory, etc.) to digital content platforms.   He pioneered the use of large-scale choice models for operations problems.  More broadly, he uses his deep technical expertise in mathematical optimization, machine learning, and statistics to develop solutions that can scale to large practical sized operations and marketing problems.  He is passionate about impacting practice through his work and has been an entrepreneur, startup investor, and advisor. 

Srikanth's work has received ten "Best Paper" awards and nominations, a CAREER award from the National Science Foundation, the POMS Wickham-Skinner Early Career Researcher Award, and the Young Alumni Achiever Award and the President of India Gold Medal from IIT Bombay. He was also recognized by Poets & Quants as one of the “40 Best Business Professors Under 40.”