Yanxun Xu
I am an assistant professor 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 statistical problems, such as high-dimensional data analysis, nonparametric problems, uncertainty quantification, and large-scale heterogeneous data problems. I also develop new Bayesian 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
Award:
- 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
Openings:
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.