Yuxin Chen

Yuxin Chen
  • Associate Professor of Statistics and Data Science
  • Associate Professor of Electrical and Systems Engineering (secondary appointment)

Contact Information

  • office Address:

    313 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: statistics, optimization, reinforcement learning, machine learning theory, information theory, statistical machine learning

Links: Personal Website, Google Scholar


For more information, please visit my Personal Website.


I’m looking for highly motivated postdocs and Ph. D. students with strong mathematical background and interest in machine learning theory, statistics, and optimization.


Ph.D. in Electrical Engineering, Stanford University, 2015 (Advisor: Andrea J. Goldsmith)
M.S. in Statistics, Stanford University, 2013
M.S. in Electrical and Computer Engineering, University of Texas at Austin, 2010
B.E. in Electrical Engineering / Microelectronics, Tsinghua University, 2008

Academic Positions Held

Associate Professor of Statistics and Data Science,
Associate Professor of Electrical and Systems Engineering (secondary appointment),
The Wharton School, University of Pennsylvania, 2022-present

Assistant Professor of Electrical and Computer Engineering,
Associated Faculty Member of Computer Science and of Applied and Computational Mathematics,
Princeton University,  2017-2021

Postdoctoral Researcher, Department of Statistics
Stanford University, 2015-2017 (Advisor: Emmanuel J. Candès)

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All Courses

  • AMCS5999 - Independent Study

    Independent Study allows students to pursue academic interests not available in regularly offered courses. Students must consult with their academic advisor to formulate a project directly related to the student’s research interests. All independent study courses are subject to the approval of the AMCS Graduate Group Chair.

  • AMCS9999 - Ind Study & Research

    Study under the direction of a faculty member.

  • STAT9910 - Sem in Adv Appl of Stat

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

Awards and Honors

  • SIAM Activity Group on Imaging Science Best Paper Prize, 2024
  • Alfred P. Sloan Research Fellowship, 2022
  • Google Research Scholar Award, 2022
  • Princeton SEAS Junior Faculty Award, 2021
  • Princeton Graduate Mentoring Award, 2020
  • ICCM Best Paper Award (Gold Medal), 2020
  • ARO Young Investigator Program Award, 2020
  • Finalist for the Best Paper Prize for Young Researchers in Continuous Optimization, 2019
  • AFOSR Young Investigator Program Award, 2019


Latest Research

Changxiao Cai, H Vincent Poor, Yuxin Chen (2022), Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality, accepted to IEEE Transactions on Information Theory.
All Research