Rediet Abebe is an assistant professor in EECS at UC Berkeley. She completed her PhD in computer science at Cornell University and also holds an MS in applied mathematics from Harvard SEAS, an MA in mathematics from the University of Cambridge, and a BA in mathematics from Harvard University. She was previously a junior fellow at the Harvard Society of Fellows.
Her research broadly falls in the fields of algorithms and AI, with a focus on equity and justice concerns. Her work has provided new mathematical and computational frameworks for problems related to poverty and inequality. Specifically, she designs and analyzes algorithmic, optimization, and network-based techniques to improve access to opportunity for historically under-served and disadvantaged communities. She also works on human-centered approaches to mechanism design.
- Theory of Reinforcement Learning, Fall 2020. Visiting Scientist.