Directory

In addition to being an assistant professor of electrical and computer engineering at CMU, Beidi Chen 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.

Office
4118 Collaborative Innovation Center
Email
beidic@andrew.cmu.edu
Websites
Beidi Chen's website

Education

2020 Ph.D. Computer Science, Rice University

2015 B.S. Electrical Engineering and Computer Science, University of California, Berkley

Media mentions


CyLab Security and Privacy Institute

CyLab awards 2024 seed funding

This year, CyLab has awarded $400K in seed funding to 17 CMU students, faculty, and staff members representing five departments at the university.