XU Yaqing

Assistant Professor

Email: yaqing.xu@sjtu.edu.cn

Research interest: interaction analysis, variable selection, deep learning


Dr. Xu received her Ph.D. degree in Biostatistics at Yale University in 2021.Her research mainly focuses on statistical methodologies for analyzing gene-environment interaction in complex diseases and novel deep learning techniques in healthcare applications. She is also actively involved in collaborative research on clinical trials, epidemiology, and other biomedical fields.


  • 2016-2021 Yale University, School of Public Health, Ph.D. in Biostatistics

  • 2014-2016 Yale University, School of Public Health, MS in Biostatistics

  • 2010-2014 Shandong University, School of Mathematics, BS in Statistics

Professional experience

  • 2021.7 – present, Assistant Professor, Shanghai Jiao Tong University, School of Public Health,


  • Fall 2021, Medical Statistics (graduate level)

  • Spring 2021, Epidemiology and Medical Statistics (undergraduate level)

  • Spring 2021, Advanced Health Statistics

Selected Publications

  1. Xu Y, Wu M, Ma S. Multidimensional molecular measurement-environment interaction analysis for disease outcomes. Biometrics. 2021; 1-13.

  2. Mei H, Xu Y, Wang J, Ma S. Evaluation of Survival Outcomes of Endovascular Versus Open Aortic Repair for Abdominal Aortic Aneurysms with a Big Data Approach. Entropy. 2020 Dec;22(12):1349.

  3. Xu Y, Wu M, Zhang Q, Ma S. Robust identification of gene-environment interactions for prognosis using a quantile partial correlation approach. Genomics. 2019 Sep 1;111(5):1115-23.

  4. Xu Y, Zhong T, Wu M, Ma S. Histopathological Imaging–Environment Interactions in Cancer Modeling. Cancers. 2019 Apr;11(4):579.

  5. Xu Y, Wu M, Ma S, Ejaz Ahmed S. Robust gene–environment interaction analysis using penalized trimmed regression. Journal of statistical computation and simulation. 2018 Dec 12;88(18):3502-28.