Srikanth Jagabathula is the Robert Stansky Research Faculty Fellow and Associate Professor of Tech, Ops, and Stats at the NYU Stern School of Business and Scientific Advisor at Arena AI. 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 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.  His research lies at the intersection of operations management and machine learning. He is passionate about impacting practice through his work.  He has co-founded Celect (retail analytics startup sold to Nike) and Velai (early-stage startup focused on shock resilient supply chain decision making).  He is also a Scientific Advisor to Arena AI (startup developing cutting-edge active learning techniques for business decision making). His work has also been implemented at several companies, including The Bon-Ton, Ford Motor Company,, and AB InBev. He is a frequent advisor to early-stage AI/ML startups focused on operations and supply chain challenges.

Srikanth work has received eight "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.”