Weijing Tang 唐沩婧
Assistant Professor
Department of Statistics & Data Science
Carnegie Mellon University
Email: weijingt AT andrew DOT cmu DOT edu
Address: 132B Baker Hall, 5000 Forbes Avenue, Pittsburgh, PA
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About Me
About Me
I am an Assistant Professor in the Department of Statistics and Data Science at Carnegie Mellon University. Prior to joining CMU in 2023, I was a Postdoctoral Research Fellow in Biostatistics at Harvard University, working with Tianxi Cai. In 2022, I received a Ph.D. in Statistics from the University of Michigan, where I was fortunate to be advised by Ji Zhu. In 2016, I received a B.S. in Mathematics from Tsinghua University.
I am broadly interested in developing statistical methodology and theory for network analysis, machine learning, and survival analysis with applications to health and social sciences. My research is largely motivated by challenges arising from analyzing massive and complex datasets for interdisciplinary research.
Selected Awards
Selected Awards
2023 ProQuest Distinguished Dissertation Award, University of Michigan
2022 IMS Hannan Graduate Student Travel Award, Institute of Mathematical Statistics
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 Student Paper Award, Nonparametric Statistics Section, ASA
2020-2021 Rackham Predoctoral Fellowship, Rackham Graduate School, University of Michigan
2017-2018 Rackham International Student Fellowship, Rackham Graduate School, University of Michigan
2013-2016 Tsinghua Xuetang Talents Program in Mathematics, Tsinghua University
My research is partially supported by NSF Grant DMS-2412853 (sole PI), CMU Dietrich College Seed Grant (co-PI).
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