Sriram Somanchi is an Assistant Professor of Business Analytics at Mendoza College of Business. His research focuses on bridging the gap between machine learning and social science problems. His interests include developing computationally efficient statistical machine learning algorithms for pattern detection in massive, complex data and demonstrating the practical utility of applying these approaches to real-world problems. He has worked in the area of event and pattern detection in the domains of disease surveillance, clinical health, finance and law enforcement. Somanchi also is interested in leading the development of machine learning and data-mining methods to enable data-driven decision making in organizations and public policy agencies.
Somanchi has a PhD in Information Systems and Management from Heinz College at Carnegie Mellon University. He is a graduate from Machine Learning Department at CMU, and earned an M.E in computer science from the Indian Institute of Science, Bangalore, India.