Yuejie Chi
Sense of Wonder Group Endowed Professor of Electrical and Computer Engineering in AI Systems, Electrical and Computer Engineering
Affiliated Faculty, Machine Learning
Since January 2018, Yuejie Chi holds the Sense of Wonder Group Endowed Professorship of Electrical and Computer Engineering in AI Systems in the Department of Electrical and Computer Engineering at Carnegie Mellon University. She is also an affiliated faculty member in the Machine Learning Department in the School of Computer Science. Previously she was with the Department of Electrical and Computer Engineering and the Department of Biomedical Informatics at The Ohio State University. She received his Ph.D. in Electrical Engineering from Princeton University in 2012, where she was fortunate to work with Robert Calderbank. Chi received an M.A. in Electrical Engineering from Princeton University in 2009, and a B.Eng. in Electronic Engineering from Tsinghua University in 2007.
Chi’s research is motivated by the challenge of efficiently extracting information embedded in a large amount of data, as well as collecting data efficiently to gather actionable information. She is interested in the mathematics of data representation that take advantage of structures and geometry to minimize complexity and improve performance. Specific topics of interest include mathematical and statistical signal processing, machine learning, large-scale optimization, and sampling and information theory, with applications in sensing, imaging and big data.
Chi is a recipient of the NSF CAREER Award, AFOSR Young Investigator Award, ONR Young Investigator Award, ORAU Ralph E. Powe Junior Faculty Enhancement Award, Google Faculty Research Award, IEEE Signal Processing Society Young Author Best Paper Award, and the IEEE ICASSP Best Student Paper Award, among others.
Mathematical Foundations of Data Science
Education
2012 Ph.D., Electrical Engineering, Princeton University
2009 MA, Electrical Engineering, Princeton University
2007 BS, Electronics Engineering, Tsinghua University
Media mentions
CMU College of Engineering
2023 Engineering Faculty Awards announced
The 2023 Engineering Faculty Awards highlight faculty members who have shown outstanding educational, research, and service efforts. Congratulations to all of this year’s awardees!
CyLab Security and Privacy Institute
CyLab awards 2023 seed funding
This year, CyLab has awarded $450K in seed funding to 20 faculty, staff, and students in five departments across three colleges at CMU.
Five Engineering faculty receive professorships
ECE’s Yuejie Chi, MSE’s Marc De Graef, ECE’s Swarun Kumar, ECE’s Brandon Lucia, and MechE’s Rebecca Taylor recently received professorships in Engineering for their outstanding scholarly achievements.
IEEE Signal Processing Society
Chi named 2022 SPS Distinguished Lecturer
ECE’s Yuejie Chi has been named a 2022 IEEE Signal Processing Society (SPS) Distinguished Lecturer. The program provides means for SPS Chapters and Student Branch Chapters to have access to well-known educators and authors in the fields of signal processing.
IEEE Information Society
Chi named 2021 Goldsmith Lecturer
ECE’s Yuejie Chi has been named the 2021 Goldsmith Lecturer by the IEEE Information Society. As the recipient, Chi will deliver the Goldsmith Lecture at one of the ITSoc’s Schools of Information Theory.
Electrical and Computer Engineering Department
Chi wins IEEE award
Yuejie Chi, a professor in the electrical and computer engineering department is the inaugural winner of the Pierre-Simon Laplace Early Career Technical Achievement Award from IEEE.
CMU Engineering
Air Force partnership to fuse AI and materials research
CMU and Air Force Research Laboratory establish 5-year, $7.5M Center of Excellence in data-driven materials research.
CMU Engineering
Six things you should know about AI from experts in the field
Researchers from Carnegie Mellon University’s College of Engineering share what they have learned about artificial intelligence while working in the field.
CMU Engineering
Exploring the essence of big data
Yuejie Chi has received a 2019 PECASE Award for her research on data science.