Mendoza School of Business

Sriram Somanchi

Assistant Professor
IT, Analytics, and Operations
  344 Mendoza College of Business
  • Biography
  • Background
  • Publications

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.

Ph D, Carnegie Mellon University
MS, Carnegie Mellon University
M.Phil, Carnegie Mellon University
Master of Engineering, Indian Institute of Science
Bachelor of Technology, Jawaharlal Nehru Technological University

Areas of Expertise
Machine Learning
Business Analytics

"To Predict or Not to Predict: The Case of Inpatient Admissions from the Emergency Department", (With Idris Adjerid, Ralph Gross), Production and Operations Management Journal, 2021

"Discovering Anomalous Patterns In Large Digital Pathology Images", (With Daniel Neill, Anil Parwani), Statistics in Medicine, 2018

"Graph Structure Learning from Unlabeled Data for Early Outbreak Detection", (With Daniel Neill), IEEE Intelligent Systems