Yuejie Chi
Department of Electrical and Computer Engineering
Carnegie Mellon University
Short Bio  /  CV  /  Google Scholar

Since July 2021, I am a Professor in the Dept. of Electrical and Computer Engineering at Carnegie Mellon University, where I held the inaugural Robert E. Doherty Career Development Professorship from 2018 to 2020. I am also an affiliated faculty member with the Machine Learning Department and CyLab.

My research interests lie in the theoretical and algorithmic foundations of data science, machine learning, signal processing and inverse problems, with applications in sensing and societal systems, broadly defined. The problems my group studies are often interdisciplinary in nature, lying at the intersection of statistics, learning, optimization, and sensing. Specific lines of research topics can be found under Research.

I have been lucky to receive a couple of awards for my work, including Presidential Early Career Award for Scientists and Engineers (PECASE) from the White House, IEEE Signal Processing Society Young Author Best Paper Award, among others. In 2019, I received the inaugural IEEE Signal Processing Society Early Career Technical Achievement Award for contributions to high-dimensional structured signal processing.

I also had the privilege to deliver plenary and keynote talks at several conferences and workshops, with more materials shared under talks. I was named the Goldsmith Lecturer by IEEE Information Theory Society in 2021, and a Distinguished Lecturer by IEEE Signal Processing Society for 2022-2023.

Previously I was with the Dept. of Electrical and Computer Engineering and the Dept. of Biomedical Informatics at The Ohio State University until 2017. I completed my Ph.D. in Electrical Engineering from Princeton University in 2012, where I was fortunate to be advised by Prof. Robert Calderbank. I received a M.A. in Electrical Engineering from Princeton University in 2009, and a B.Eng. in Electronic Engineering from Tsinghua University in 2007.

I have an Erdos number of 3.

Notes to prospective students outside CMU: There is on expectation 1 slot in my group every year. Unfortunately, I am not able to respond to most (nearly all!) inquiries about suitability in my group due to the volume of emails I receive. Instead, please apply directly to the ECE department and list me as a faculty of interest. Occasionally, I take summer interns and visitors with strong mathematical backgrounds.

Notes to students at CMU: Please contact me directly if you're interested in research projects in my group.

Recent Papers

Dataset Release

NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies [NSRR] [PhysioNet] [Code]

  • In collaborations with Nationwide Children's Hospital, we have released NCH Sleep DataBank, which is a large collection of real-world pediatric sleep studies. Containing 3,984 polysomnography studies and over 5.6 million clinical observations on 3,673 unique patients, we expect this dataset to be of unique value for studying pediatric sleep.



  • Office: Porter Hall B25

  • Mailing address: 5000 Forbes Ave., Pittsburgh, PA 15213

  • Email: first+last at cmu dot edu = first+c at andrew dot cmu dot edu