Aleksandra Korolova

Aleksandra Korolova is an assistant professor in the Department of Computer Science at Princeton University, with a joint appointment in the School of Public and International Affairs. She is affiliated with Princeton's Center for Information Technology Policy. Prior to joining Princeton in 2022, she was an assistant professor of computer science at the University of Southern California, a research scientist at Google, and a privacy adviser at Snap, Inc. Her research focuses on the societal impacts of algorithms and machine learning, with an emphasis on developing technologies that enable data-driven innovations while preserving privacy and fairness. She also conducts algorithm and AI audits. Korolova holds a bachelor’s degree from the Massachusetts Institute of Technology and a doctoral degree from Stanford University.

Aleksandra Korolova is an Assistant Professor of Computer Science and Public Affairs at Princeton University, focusing on Privacy, Differential Privacy, Algorithmic Fairness, Societal Impacts, and Algorithm Auditing. Her research explores the intersection of technology and society, particularly how algorithmic systems can perpetuate discrimination and compromise user privacy. She investigates methods to ensure fairness in automated decision-making and develops techniques for privacy-preserving data analysis. Her work includes auditing algorithms for discriminatory outcomes and designing systems that protect user data while enabling useful insights. Korolova's research addresses critical challenges in modern computing, such as differential privacy in machine learning, privacy in social networks, and the societal implications of algorithmic decision-making.