PhD, University of Maryland, MBA, M.S. and B.S, Stanford University
Kalinda Ukanwa is Assistant Professor of Marketing at the University of Southern California. A quantitative modeler, Professor Ukanwa researches how algorithmic bias, algorithmic decision-making, and consumer reputations impact firms. She is the winner of the 2018 Eli Jones Promising Young Scholar Award and a finalist for the 2018 INFORMS Service Science Best Student Paper Award, 2019 Howard/AMA Doctoral Dissertation Award, and the 2020 AMS Mary Kay Doctoral Dissertation Award. In a prior life, Professor Ukanwa was an industrial engineer, financial analyst, and finance executive at Walt Disney, Citigroup, Viacom, and Kaplan.