Associate Professor of Tech, Ops, & Stats
Robert Stansky Research Faculty Fellow
NYU Stern School of Business
Machine Learning
Business Analytics
Choice Modeling
Assortment and Pricing Analytics
Revenue Management


September 26, 2022

Springer book chapter on “Nonparametric Estimation of Choice Models”

Demand forecasting is the first step before making any decisions, and forecasting using choice-based demand models has become the de-facto approach for operations, revenue management, and […]
September 6, 2022

Finalist for the 2022 RM&P Practice Prize Award

Our work done in collaboration with AAnheuser-Busch InBev (AB InBev) and Arena AI was selected as a finalist for the 2022 Revenue Management and Pricing Practice […]
May 10, 2022

The Limits of Centralized Pricing in Online Marketplaces and the Value of User Control

To decentralize or centralize — that’s the question! With their asset-free or asset-light models, online platforms have been able to scale rapidly using a decentralized collection […]


  • Sep 2022-presentNew York University Stern School of Business, New York, NY

    Robert Stansky Research Faculty Fellow
  • Jan 2018-presentNew York University Stern School of Business, New York, NY

    Associate Professor of Technology, Operations, and Statistics
  • Mar 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 Management
  • Oct 2011-Dec 2017New York University Stern School of Business, New York, NY

    Assistant Professor of Information, Operations, and Management Sciences
  • 2014–2019Celect, 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.


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 IIT Bombay President of India Gold Medal. He was also recognized by Poets & Quants as one of the “40 Best Business Professors Under 40.”


Wickham Skinner Early-Career Research Accomplishments Award

2018, awarded by the POM society to academics with unusually high accomplishment early in their careers

Poets & Quants 40 Best Business Professors Under 40

2018, awarded each year to the 40 most impactful young business professors in both research and teaching

Best OM Paper in Management Science Award

2016, awarded to the best paper in the OM department from the last three years (2013-2015)