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. He was named one of the “top 40 outstanding business school professors under 40 in the world” by Poets & Quants.
He is passionate about impacting practice through his work. He is an entrepreneur, startup investor, and advisor. He co-founded Celect Inc. (later sold to Nike) to commercialize his PhD dissertation work. Founded in 2012, Celect was one of the first to bring deep technology to solve operational problems facing traditional brick-and-mortar retailers. Its technology was selected as one of the 50 great innovations produced by MIT CSAIL. 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. At Arena AI, he is working on developing active learning solutions to optimize recommendations and promotions for supply chain partners. Recently, he co-founded Velai Inc., focused on predicting disease incidence levels to help hospitals optimize their resource planning. This startup is motivated by the work he did with the New Jersey governor’s office to help with hospital resource planning during COVID.
His work has been recognized with numerous awards, including an NSF CAREER Award, the Wickham Skinner Early-Career Research Accomplishments Award from the POM Society, 8 best paper awards and nominations in Ops and ML, best Master’s thesis award, and the President of India Gold Medal. He is a sought-after speaker and has given more than 100 talks internationally at academic (conferences & universities) and industry venues, including Facebook, Google, Microsoft, Uber, Oracle, and AIG. He serves on the editorial boards of Management Science and Operations Research -- two of the most prestigious journals within the operations research and operations management areas. He has published more than 25 peer reviewed scientific papers and owns 3 patents.
Sep 2022-presentNew York University Stern School of Business, New York, NYRobert Stansky Research Faculty Fellow
Jan 2018-presentNew York University Stern School of Business, New York, NYAssociate Professor of Information, Operations, and Management Sciences - Jan 2018–present
Jul 2018–Jun 2019Harvard Business School, Cambridge, MAVisiting Associate Professor of Technology and Operations Management
Oct 2011-Dec 2017New York University Stern School of Business, New York, NYAssistant Professor of Information, Operations, and Management Sciences
2019Associate Editor.Management Science Special Issue on Data-Driven Prescriptive Analytics
2018Associate Editor.Management Science
2018Associate Editor.Operations Research
Mar 2021-presentArena AI, Supply Chain AI Start-up, New York, NYChief 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, MACo-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, CADesigned 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, CAAnalyzed 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, UKDesigned and tested various quantitative models to value Collateralized Debt Obligations (CDOs)
Jul 2008–Aug 2011Massachusetts Institute of Technology, Cambridge, MAPhD 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, MAS.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, IndiaB. Tech. in Electrical Engineering, GPA 9.89/10
Ranked first in the entire graduating class of 2006