Rediet Abebe is a Junior Fellow at the Harvard Society of Fellows and an incoming Assistant Professor at UC Berkeley EECS. She completed her Ph.D. in Computer Science at Cornell University and also holds an M.S. in applied mathematics from Harvard SEAS, an M.A. in mathematics from the University of Cambridge, and a B.A. in mathematics from Harvard University.
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.