Mika Sumida

Mika Sumida is an Assistant Professor of Data Sciences and Operations in the Marshall School of Business at the University of Southern California. Her research focuses on developing efficient, provably good algorithms for revenue management and resource allocation problems, with applications in the sharing economy, online marketplaces, and delivery systems. She holds a Ph.D. in Operations Research and Information Engineering from Cornell University, and a B.A. from Yale University. Prior to her Ph.D., she spent two years working in operations consulting at Analytics Operations Eng., Inc.