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

NEWS

April 16, 2024

2024 INFORMS RM&P Practice Prize

I’m chairing this year’s INFORMS RM&P Section Practice Prize Award, and we’re searching for your brilliant work! This prestigious award (typically given every other year) recognizes […]
March 28, 2024

Academic Director of the BS in Business, Technology, and Entrepreneurship

As a new semester dawns, I’m thrilled to announce a new chapter in my professional journey: I will be stepping into the role of Academic Director […]
January 12, 2024

Reshaping the Future of Retail

I had the pleasure to attend the practitioner oriented conference on “Reshaping the Future of Retail” at the Bensadoun School of Retail Management, McGill University in […]

PROFESSIONAL EMPLOYMENT

  • Jan 2024-presentNew York University Stern School of Business, New York, NY

    Academic Director, Stern BTE
  • 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.

BRIEF BIO

Srikanth Jagabathula is the Robert Stansky Research Faculty Fellow; Associate 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 recognition 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 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.

SELECTED AWARDS AND GRANTS

IIT Bombay Young Alumni Achiever Award

2023, for alumni below 40 yrs of age who have shown outstanding achievements in their chosen field of work

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