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. With a commitment to excellence in education, 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.

A renowned speaker, Srikanth has delivered over 100 talks worldwide, sharing his insights with academic and industry leaders alike. He serves on the editorial boards of Management Science, Operations Research, and Manufacturing and Service Operations Management, prestigious academic journals in the business and operations domains. His prolific output includes over 30 peer-reviewed scientific papers and three patents, marking him as a pivotal figure in the intersection of technology, operations, and business innovation.

 

ACADEMIC APPOINTMENTS

  • 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 Information, Operations, and Management Sciences - Jan 2018–present
  • 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

EDITORIAL APPOINTMENTS

  • 2024Assocaite Editor

    Manufacturing and Service Operations Management (M&SOM)
  • 2019Associate Editor.

    Management Science Special Issue on Data-Driven Prescriptive Analytics
  • 2018Associate Editor.

    Management Science
  • 2018Associate Editor.

    Operations Research

PROFESSIONAL EXPERIENCE

  • Mar 2021-Jan 2023Arena 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.
  • 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.
  • Summer 2010A9.com (wholly-owned subsidiary of Amazon.com), Palo Alto, CA

    Designed and implemented a large-scale system to estimate the cannibalization effect of 3rd party ads on Amazon.com product pages
  • Summer 2009Microsoft Research, Silicon Valley, CA

    Analyzed large volumes of search queries to Bing. Designed and implemented a large-scale algorithm to recommend commercial queries to general search queries to increase traffic to Bing Shopping
  • Summer 2007Deutsche Bank AG, London, UK

    Designed and tested various quantitative models to value Collateralized Debt Obligations (CDOs)

EDUCATION

  • Jul 2008–Aug 2011Massachusetts Institute of Technology, Cambridge, MA

    PhD in Electrical Engineering and Computer Science, GPA 5/5
    Dissertation: “Nonparametric Choice Modeling: Applications to Operations Management”
    Advisors: Vivek Farias and Devavrat Shah
  • Sep 2006–Jun 2008Massachusetts Institute of Technology, Cambridge, MA

    S.M. in Electrical Engineering and Computer Science, GPA 5/5
    Dissertation: “Scheduling Algorithms for Arbitrary Communication Networks”
    Advisor: Devavrat Shah
  • Jul 2002–May 2006Indian Institute of Technology Bombay, Mumbai, India

    B. Tech. in Electrical Engineering, GPA 9.89/10
    Ranked first in the entire graduating class of 2006