WiSE Gabilan Assistant Professor of Computer Science
Education
- Doctoral Degree, University of Toronto
Biography
Evi Micha is an Assistant Professor of the Computer Science Department at the University of Southern California. Before that, she was a postdoc fellow at Harvard University, and she obtained her Ph.D. from the University of Toronto. One of her recent papers was selected as exemplary in the applied modeling track of ACM Conference on Economics and Computation. Her research has been awarded the 2024 Best Dissertation Award from the Canadia Artificial Intelligence Association and the 2024 IFAAMAS Victor Lesser Distinguished Dissertation Award runner-up.
Research Summary
My research interests lie at the intersection of Computer Science (specifically AI and theory) and Economics, spanning areas such as computational social choice and algorithmic fairness. Broadly, one thread of my research explores how to aggregate individual preferences into collective decisions, with applications ranging from democratic systems (such as citizens' assemblies) to AI alignment (such as RLHF). Another thread focuses on algorithmic fairness in AI systems, drawing on multidisciplinary ideas with applications ranging from clustering to peer review.
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