Kalinda Ukanwa

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.

RESEARCH INTERESTS

Algorithmic Fairness; Algorithmic Bias; Algorithmic Decision‐Making; Reputation; Social Dynamics; Bayesian Methods; Agent Based Modeling

Education

• Doctor of Philosophy - PhD University of Maryland - Robert H. Smith School of Business (2013 — 2019)
• MBA Stanford University Graduate School of Business (1999 — 2001)
• Masters Stanford University (1993 — 1994)
• B.S. Stanford University (1989 — 1993)

Companies

• Assistant Professor University of Southern California - Marshall School of Business (2019)
• Doctoral Candidate - Quantitative Marketing University of Maryland, Robert H. Smith School of Business (2013 — 2019)
• Executive Director, Financial Planning & Analysis Kaplan Test Prep and Admissions (2010 — 2011)
• Consultant Independent Consultant (2010 — 2010)
• Director of Finance-BET Digital Viacom (2007 — 2009)
• Analytics & Business Insights Consultant Sehkmet Services (2003 — 2007)
• Program Manager (1 yr Presidential Appointee), Western Region TSA (2002 — 2003)
• Senior Business Planning and Development Analyst Citigroup (e-Citi Digital) (1998 — 2001)
• Senior Strategic Planning Analyst Walt Disney Attractions (1997 — 1998)

JOURNAL PUBLICATIONS

• Zuckerman, Ezra W, Tai‐Young Kim, Kalinda Ukanwa, and James von Rittmann (2003), “Robust Identities or Non‐Entities? Typecasting in the Feature Film Labor Market,” American Journal of Sociology 108: 1018‐1075. (709 Google Scholar citations as of 1/22/22)