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Srikanth Jagabathula

Srikanth Jagabathula

Joined Stern 2011

Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-74
New York, NY 10012

E-mail sjagabat@stern.nyu.edu
Personal website


Srikanth Jagabathula is an Assistant Professor of Information, Operations, and Management Sciences at New York University Leonard N. Stern School of Business. He is a faculty affiliate at the NYU Center for Data Science and the Center for Business Analytics

Professor Jagabathula's research interests broadly lie at the intersection of operations, marketing, and machine learning. His current work broadly focuses on developing data-driven modeling and learning techniques with the goal of improving the accuracy of operational decision-making. The objective of his research is to obtain easy-to-use techniques for a wide range of managerial decisions: the right products to design, the right products and prices to offer to customers, and the right quantity of each product to carry. More broadly he is interested in understanding how to handle and extract useful insights from the large quantities of data being generated by businesses.

Professor Jagabathula has received a number of awards recognizing his work. They include the NSF CAREER Award, best student paper awards in operations and machine learning conferences, best Master’s thesis award, and the President of India Gold Medal in 2006.

Professor Jagabathula received a B.Tech. degree in Electrical Engineering from IIT Bombay, and an S.M. degree and Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.

Research Interests

  • Data generated by businesses
  • Choice behavior of consumers

Courses Taught

  • Competitive Advantage from Operations

Academic Background

Ph.D., Electrical Engineering and Computer Science, 2011
Massachusetts Institute of Technology

S.M., Electrical Engineering and Computer Science, 2008
Massachusetts Institute of Technology

B.Tech., IIT Bombay, 2006
Electrical Engineering

Areas of Expertise

Information, Operations & Management Sciences

  • Data Mining
  • Data Science
  • E-commerce
  • Machine Learning
  • Operations Management
  • Stochastic Modeling