Beidi Chen

About

Beidi Chen is an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. She is a Visiting Research Scientist at FAIR, Meta. Before that, she was a postdoctoral scholar at Stanford University. She received her Ph.D. from Rice University in 2020 and B.S. from UC Berkeley in 2015. Her research focuses on efficient machine learning. Specifically, she designs and optimizes algorithms and models on modern hardware to accelerate large machine learning systems. Her work has won a best paper runner-up at ICML 2022, a best paper award at IISA 2018, and a best paper award at USENIX LISA 2014. She was selected as a Rising Star in EECS by MIT in 2019 and UIUC in 2021.