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Beidi Chen is an Assistant Professor in the College of Engineering at Carnegie Mellon University. He received his Ph.D. from Rice University in 2020 and a B.S. in Electrical Engineering and Computer Science from the University of California, Berkeley in 2015. His research focuses on efficient machine learning, specifically in designing and optimizing algorithms and models for modern hardware to accelerate large machine learning systems. His work has been recognized with several awards, including paper runner-up at the International Conference on Machine Learning (ICML) in 2022, and awards from the International Symposium on Advanced Intelligent Systems (IISA) in 2018 and USENIX LISA in 2014. Beidi has also been selected as a Rising Star in Electrical Engineering and Computer Science by both MIT in 2019 and the University of Illinois at Urbana-Champaign in 2021. Before his current position, he worked as a visiting research scientist at FAIR (Facebook AI Research) and a postdoctoral scholar at Stanford University.
Carnegie Mellon University • Pittsburgh, PA
Teaching and conducting research in the field of electrical and computer engineering.
Meta - Facebook AI Research (FAIR) •
Conducting advanced research in AI and machine learning.
Stanford University •
Engaged in postdoctoral research within the university's engineering department.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.