معرفی
Srikanth Jagabathula is Professor of Technology, Operations, and Statistics, Robert Stansky Research Faculty Fellow, and Academic Director of the Anand Khubani BS in Business, Technology, and Entrepreneurship program at the NYU Stern School of Business. He has been at NYU Stern since 2011, previously serving as Assistant and Associate Professor, and was a Visiting Associate Professor at Harvard Business School. He teaches operations management and AI/ML courses across undergraduate, graduate, PhD, and executive programs.
Education:
- Ph.D., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2011
- S.M., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2008
- B.Tech., Electrical Engineering, IIT Bombay, 2006
Srikanth is a leading researcher in machine learning, optimization, and business analytics, with a focus on consumer choice modeling, pricing, and supply chain decisions. His work bridges technical rigor with real-world business impact, particularly in retail and digital platforms. He has pioneered large-scale choice models that integrate customer behavior with operational data to solve complex decision problems. His research leverages mathematical optimization and statistical learning to create scalable solutions for operations and marketing challenges.
His recent publications reflect a trend toward AI-driven decision systems in business and public policy, including applications in commodity forecasting and healthcare modeling. These works demonstrate his ability to apply data science to both economic and societal challenges.
Scientific Awards and Honors:
- NSF CAREER Award
- Wickham Skinner Early-Career Research Accomplishments Award (POM Society)
- Poets & Quants Top 40 Under 40 Professors
- President of India Gold Medal
- IIT Bombay Young Alumni Achiever Award
- Over ten best paper awards in Operations and Machine Learning
Srikanth has made significant contributions through entrepreneurial ventures and industry advisory roles. He co-founded Celect Inc., a retail analytics startup acquired by Nike, which implemented his doctoral research and was recognized as one of MIT CSAIL's 50 great innovations. He currently serves as Chief Scientist and Scientific Advisor at Arena AI, a supply chain AI startup. His work has impacted major companies including The Bon-Ton, Ford, eBay.com, and AB InBev. He has secured research funding from federal sources and top-tier VCs.
He is actively engaged in the academic community, serving on the editorial boards of Management Science, Operations Research, and Manufacturing and Service Operations Management. He has delivered over 100 talks worldwide and continues to lead in both research and education innovation.
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