Qiong Wu

Qiong Wu serves as Assistant Professor in the Department of Biostatistics at the University of Pittsburgh, developing cutting-edge statistical methodologies for public health data integration and clinical evidence generation. Her work bridges advanced computational techniques with real-world biomedical challenges through multi-institutional collaborations.

Her educational credentials include:

• 2021: PhD in Statistics, University of Maryland, College Park
• 2017: MS in Statistics, George Washington University
• 2015: BS in Mathematics and Applied Mathematics, Zhejiang University

Dr. Wu's research program centers on three synergistic domains: (1) Federated and transfer learning methodologies for privacy-preserving analysis of distributed healthcare data, particularly addressing rare outcomes; (2) Pediatric clinical evidence generation for COVID-19 and Long COVID using causal mediation analysis on electronic health records; (3) Graph-theory-enhanced statistical inference for high-dimensional neuroimaging and genomic data to improve signal detection and reproducibility. Her approaches specifically tackle heterogeneity in multi-source data while maintaining methodological rigor.

Analysis of her 2022-2024 publications reveals strong translational impact across both methodology and clinical domains. She pioneers nearly lossless federated algorithms for rare outcome studies, develops causal frameworks for vaccine effectiveness in pediatric populations, and creates graph-based tools for biomedical data. Her work consistently appears in top-tier journals including Biometrics and Annals of Internal Medicine, demonstrating seamless integration of theoretical innovation with urgent public health applications.

Dr. Wu actively contributes to the RECOVER Consortium, leveraging large-scale electronic health record networks for pediatric Long COVID research. Her collaborative work involves multi-institutional teams across the United States, focusing on evidence generation for vulnerable populations.

Teaching responsibilities include BIOST 2168 Introduction to Causal Inference. Contact details: qiongwu@pitt.edu, 412-624-0339, Office A726.