Sarah Dean

Assistant Professor, AI2050 Early Career Fellow

Year

2024
Program

AI2050
Institution

Cornell University
Location

USA

Sarah is an Assistant professor in the Computer Science Department at Cornell. She is interested in the interplay between optimization, machine learning, and dynamics, and her research focuses on understanding the fundamentals of data-driven control and decision-making. This work is grounded in and inspired by applications ranging from robotics to recommendation systems. Sarah’s work has received a best paper award at the International Conference on Machine learning, a best paper award at the NeuRIPS Joint Workshop on AI for Social Good, and a best paper finalist award at the Conference on Robot Learning. She holds a PhD and MS in EECS from UC Berkeley and a BS in ESE from UPenn. She is the recipient of a Berkeley Fellowship and a NSF Graduate Research Fellowship.