Bio: Esther is a Ph.D. student in the Electrical Engineering and Computer Sciences department at UC Berkeley, and an NSF Graduate Research Fellow. She graduated from Princeton University in 2016 with a B.S.E. in Computer Science.

Research: Esther’s research targets machine learning algorithms that interact with society. Her current focus lies in two main domains: the field of algorithmic fairness, which aims to directly design and audit black-box decision algorithms to ensure equity and benefit for all individuals, and in machine learning for environmental monitoring, where abundant sources of temporally recurrent data provide an exciting opportunity to make inferences and predictions about our changing planet.