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Aleksandra Korolova is an Adjunct Research Assistant Professor at the University of Southern California's Viterbi School of Engineering in the Department of Computer Science. She holds a Doctoral Degree in Computer Science from Stanford University, a Master’s Degree in Computer Science from Stanford University, and a Bachelor’s Degree in Mathematics and Computer Science from the Massachusetts Institute of Technology. Her research focuses on algorithmic fairness and the impact of optimization algorithms on societal issues. She has demonstrated how Facebook's advertising optimization algorithms can skew job ad delivery based on race and gender. Additionally, she has developed a new auditing methodology to identify and explain the biases introduced by these algorithms. Through her work, Korolova emphasizes the ethical responsibilities of platform designers to avoid discriminatory practices. Her contributions to the field have been recognized through various awards, including the 2021 Runner-up at the WWW Student Paper Award and a 2020 NSF CAREER Award.
University of Southern California • Los Angeles, CA
Teaching and conducting research in the Department of Computer Science.
GRE is NOT required for Master's applicants for 2025-2026.