Robert Stansky Research Faculty Fellow
NYU Stern School of Business
Business Analytics
Choice Modeling
Assortment and Pricing Analytics
Revenue Management
NEWS
PROFESSIONAL EMPLOYMENT
Sep 2022-presentNew York University Stern School of Business, New York, NY
Robert Stansky Research Faculty FellowJan 2018-presentNew York University Stern School of Business, New York, NY
Associate Professor of Technology, Operations, and StatisticsMar 2021-presentArena AI, Supply Chain AI Start-up, New York, NY
Chief Scientist and Scientific Advisor at cutting-edge supply chain analytics startup, which uses power- ful AI algorithms to help brands automatically optimize promotions and assortment offerings in their catalogs, recommend products to buyers to complement reduced sales forces during the pandemic, and identify growth opportunities in new markets.Jul 2018–Jun 2019Harvard Business School, Cambridge, MA
Visiting Associate Professor of Technology and Operations ManagementOct 2011-Dec 2017New York University Stern School of Business, New York, NY
Assistant Professor of Information, Operations, and Management Sciences2014–2019Celect, LLC, Retail Analytics Start-up, Boston, MA
Co-founder of a big data retail analytics start-up that is commercializing my research on choice modeling. Raised capital (Seed, Series A) from top-tier VCs and Federal sources and helped build the initial team. Implemented the technology platform at multiple top-tier US retailers. The startup has now been acquired by Nike.
BRIEF BIO
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, eBay.com, 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 IIT Bombay President of India Gold Medal. He was also recognized by Poets & Quants as one of the “40 Best Business Professors Under 40.”