Weijing Tang 唐沩婧

Department of Statistics, University of Michigan

Email: weijtang AT umich DOT edu

436 West Hall, 1085 S. University Ave., Ann Arbor, MI

About Me

I am a Ph.D. candidate in the Department of Statistics at the University of Michigan, where I am fortunate to be advised by Prof. Ji Zhu. Prior to UMich, I received a B.S. in Pure and Applied Mathematics from Tsinghua University in 2016.

I am broadly interested in developing statistical methodology and theory for survival analysis, network analysis, and statistical machine learning, with applications to healthcare problems. My research is largely motivated by challenges arising from analyzing massive and complex datasets for interdisciplinary research.

Honors and Awards

    • 2021 Student Paper Award, Statistical Learning and Data Science Section, ASA

    • 2021 Distinguished Student Paper Award, ENAR International Biometric Society

    • 2020 Grand Prize (Awarded $20,000), COVID-19 Data Challenge, American Heart Association

    • 2020 Best Oral Presentation, Michigan Student Symposium for Interdisciplinary Statistical Sciences

    • 2020 Student Paper Award, Nonparametric Statistics Section, ASA

    • 2020-2021 Rackham Predoctoral Fellowship, Rackham Graduate School, University of Michigan

    • 2018 Institute for Healthcare Policy and Innovation Summer Student Fellowship, University of Michigan

    • 2017-2018 Rackham International Student Fellowship, Rackham Graduate School, University of Michigan

    • 2016-2017 Outstanding First Year PhD Student Award, Department of Statistics, University of Michigan

    • 2013-2016 Tsinghua Xuetang Talents Program in Mathematics, Tsinghua University

    • 2013-2015 Academic Outstanding Scholarship, Tsinghua University

News & Updates