Edward McFowland III
Technology and Operations Management Unit, Harvard Business School
Edward McFowland III is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. He teaches the first-year TOM course in the required curriculum.
Professor McFowland’s research interests – which lie at the intersection of Machine Learning, Information Systems, and Management—include the development of computationally efficient algorithms for large-scale statistical machine learning and “big data” analytics. More specifically, his research seeks to demonstrate that many real-world problems faced by organizations, and society more broadly, can be reduced to the tasks of anomalous pattern detection and discovery. As a data and computational social scientist, Professor McFowland aims to bridge the gap between machine learning and the social sciences (e.g., economics, public policy, and management).
His work has been published in leading management, machine learning, and statistics journals. He has been awarded the National Science Foundation Fairness in AI grant, as well as grants from Adobe, Facebook, PNC Bank, and AT&T Research Labs. Professor McFowland is a member of the Association of Information Systems (AIS), INFORMS Information Systems Society (ISS) and the American Statistical Association (ASA).
Professor McFowland earned his Ph.D. in Information Systems and Management from Carnegie Mellon University, where he won the William W. Cooper Doctoral Dissertation Award for “Efficient Methods for Anomalous Pattern Detection and Discovery.” He also holds Masters degrees in Machine Learning, Public Policy, and in Information Systems from Carnegie Mellon University. Prior to joining HBS, Professor McFowland taught in the Department of Information and Decision Sciences at the University of Minnesota Carlson School of Management.