Yuejie Chi
From Wikipedia, the free encyclopedia
Yuejie Chi is an electrical engineer and computer scientist who is currently the Sense of Wonder Group Endowed Professor of Electrical and Computer Engineering in AI Systems at Carnegie Mellon University. Her research involves studying non-convex optimization and compressed sensing algorithms used in machine learning and statistical signal processing.
Chi graduated from Tsinghua University with a bachelor's degree in electrical engineering in 2007. She went to Princeton University for graduate study in electrical engineering, earning a master's degree in 2009 and completing her Ph.D. in 2012.[1][2] Her dissertation, Exploitation of Geometry in Signal Processing and Sensing, was supervised by Robert Calderbank.[3][4]
After completing her Ph.D., she joined the Ohio State University faculty. In 2017 she moved to Carnegie Mellon University as associate professor and the inaugural Robert E. Doherty Early Career Development Professor,[2][5] later becoming the Sense of Wonder Group Endowed Professor of Electrical and Computer Engineering in AI Systems.[1]
