Yanxun Xu

Associate Professor of Applied Mathematcis and Statistics

Johns Hopkins University

Yanxun Xu

I am an Associate Professor and Joseph & Suzanne Jenniches Faculty Scholar in the Department of Applied Mathematics and Statistics at Johns Hopkins University. My research interests lie in developing Bayes theory and methods for a board range of problems, such as reinforcement learning, high-dimensional data analysis, nonparametric statistics, and uncertainty quantification. I also develop new statistical and machine learning methods for various applications, including electronic health records, dynamic treatment regimens, cancer genomics, early detection of Alzheimer’s disease, mental health in people with HIV, early-phase clinical trial designs, and material engineering. My research has been continuously funded by NSF, NIH, and industries.

Other Affiliations:

Training and Education:

  • Postdoctoral Fellow, Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX, 2013-2015. Advisor: Dr. Peter Müller
  • Ph.D. in Statistics, Department of Statistics, Rice University, Houston, TX, 2010-2013. Advisor: Dr. Yuan Ji
  • Research assistant, The University of Texas MD Anderson Cancer Center, Houston, TX, 2010-2013


  • The Johns Hopkins Center for AIDS Research Faculty Development Award, 2019
  • Mitchell Prize, ISBA World Meeting, 2016
  • David P. Byar Young Investigator Travel Award, 2015
  • 1st Place Winner in the ASA Biopharmaceutical Section Student Paper, Joint Statistical Meeting, 2014
  • Southern Regional Council on Statistics Travel Award, 2014
  • Women in Machine Learning Travel Award, 2013
  • GENSIPS'12 Travel Award, 2012
  • ENAR Student Distinguished Paper Award, 2011
  • John & Eileen Tietze Fellowship, Rice University, 2010 - 2011


Postdoc and Graduate student research assistant positions are available until filled. If you are interested in these positions, please email your CV to yanxun.xu[AT]jhu[DOT]edu.