I am an Assistant Professor in the Department of Biostatistics and Health Data Science at the University of Pittsburgh (since 2024). From 2021-2024, I was a postdoctoral research fellow in the Department of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine of the University of Pennsylvania during, supervised by Dr. Yong Chen. I obtained my Ph.D. degree in Statistics from the University of Maryland under the supervision of Dr. Shuo Chen in 2021.
Email: qiongwu@pitt.edu
Vaccine trial emulation, bias correction methods in trial emulation framework
Transfer learning, federated learning, and causal inference using real-world data
Statistical network analysis with applications in neuroimaging, gene expression data, and social networks.
Collaborative research in the area of vaccine efficacy, Long COVID, health disparities, pharmacovigilance, and psychiatry.
Honorable Mention for Research Poster Award, ICSA Applied Statistics Symposium, June 2023.
Exposome Data Challenge Event, Barcelona Institute for Global Health (ISGlobal), 2021.
First Place Winner of Student Paper Competition, American Statistical Association (ASA) ``Statistics in Imaging" Section, Aug. 2020.
Student Paper Competition, Statistical Methods in Imaging (SMI) conference, June 2020
Travel Award, Fourteenth Annual Workshop for Women in Machine Learning (WiML, co-located with NeurIPS), Dec 2019
Student Travel Award, Big Data Neuroscience Workshop, Sept. 2019
University of Pittsburgh:
Fall 2025: Introduction to Causal Inference
University of Maryland, College Park
Fall 2018: Elementary Statistics and Probability (Teaching assistant)
Spring 2018: Applied Probability and Statistics I (Teaching assistant)