Professor Jagabathula's research interests broadly lie at the intersection of operations, machine learning, and marketing. 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.