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Kalinda Ukanwa is an Assistant Professor of Marketing at the University of Southern California's Marshall School of Business. Her research focuses on algorithmic bias, decision-making processes influenced by algorithms, and the impact of consumer reputations on firms. With a background as an industrial engineer and financial analyst, Ukanwa has worked with major corporations such as Walt Disney, Citigroup, and Viacom, as well as in finance. She has received various awards including the 2018 Eli Jones Promising Young Scholar Award and was a finalist for the INFORMS Service Science Student Paper Award in 2018, as well as the Howard/AMA Doctoral Dissertation Award and the AMS Mary Kay Doctoral Dissertation Award in 2020. Ukanwa is committed to exploring how algorithmic decisions affect social interactions and marketing strategies, emphasizing the need for awareness about discrimination and biases within algorithmic processes. Her work has appeared in influential media outlets and she actively engages in discussions surrounding AI's role in the classroom and beyond.
University of Southern California • Los Angeles, CA
Teaching courses in Marketing and conducting research on algorithmic decision-making and consumer behavior.
GRE is NOT required for Master's applicants for 2025-2026.