Robert Stansky Research Faculty Fellow
Business Analytics
Choice Modeling
Assortment and Pricing Analytics
Revenue Management
NEWS
PROFESSIONAL EMPLOYMENT
Sep 2024-presentNew York University Stern School of Business, New York, NY
Professor of Technology, Operations, and StatisticsJan 2024-presentNew York University Stern School of Business, New York, NY
Academic Director, Khubani BTESep 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; Professor of Technology, Operations, and Statistics; and the Academic Director of the BS in Business, Technology, and Entrepreneurship program, all at the NYU Stern School of Business. His academic journey includes a year as Visiting Associate Professor of Technology and Operations Management at Harvard Business School. He teaches courses on operations management and AI/ML across undergraduate, graduate, PhD, and executive levels, earning recognitions, such as "Distinguished Teaching Award" and being named as one of Poets & Quants' “Top 40 Under 40 Outstanding Business School Professors.”
He is an expert on algorithmic retail execution. His research focuses on using AI and ML algorithms to optimize supply chain decisions for various businesses, ranging from traditional retailers and brands to digital content platforms. He pioneered the use of large-scale choice models to combine operations data with customer data for solving 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.
Srikanth's passion extends beyond academia to creating practical impact through entrepreneurial ventures and advisory roles. His first venture Celect Inc., acquired by Nike, successfully translated his doctoral research into groundbreaking solutions for the retail industry. Celect's technology has been hailed as one of MIT CSAIL's 50 great innovations. His contributions to companies like The Bon-Ton, Ford, eBay.com, and AB InBev, underscore his impact on the industry.
His contributions have garnered numerous accolades, including the MSOM Young Scholar Prize, NSF CAREER Award, the Wickham Skinner Early-Career Research Accomplishments Award from the POM Society, and over ten best paper awards in Operations and ML. His academic excellence was recognized early with the President of India Gold Medal and the best Master’s thesis award.