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Beidi Chen

Assistant Professor

Carnegie Mellon University · United States
Artificial Intelligence Machine Learning

简介

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.

数据校验于 9/6/2026数据来源

学生评价

还没有评价。成为第一位分享经验的学生吧。