Dr. Evi Paraskevi

Biography

Evi Micha is an Assistant Professor in the Computer Science Department at the University of Southern California. She completed her doctoral degree at the University of Toronto and has also been a postdoctoral fellow at Harvard University. Her recent research has been recognized with the 2024 Dissertation Award from the Canadian Artificial Intelligence Association and she was the runner-up for the 2024 IFAAMAS Victor Lesser Distinguished Dissertation Award. Her research interests lie at the intersection of Computer Science, specifically artificial intelligence theory, and economics, focusing on areas such as computational social choice and algorithmic fairness. A central theme of her work involves exploring aggregate individual preferences in collective decision-making contexts, with applications that range from democratic systems, such as citizens' assemblies, to AI alignment techniques, including reinforcement learning from human feedback (RLHF). She is particularly interested in the algorithmic fairness of AI systems, incorporating multidisciplinary ideas into her applications, including clustering and peer review.

Research Interests