Quan Zhang

Supported NIH- and state-funded longitudinal cohort tracking health and social impacts of the 2023 Maui wildfires, integrating biomarker, environmental exposure, and socioeconomic survey data. Contributed to a JAMA Network Open (2025) publication.

Provided substantive peer review for Global Burden of Disease 2023 manuscripts as an invited collaborator. Supported topic-area peer review including antimicrobial resistance in the Western Pacific Region and other GBD themes.

Independently designed and executed the full analytical workflow for a post-wildfire economic empowerment intervention, from Qualtrics data processing and matched-panel construction through statistical analysis and an executive summary. Produced evidence that informed disaster recovery policy recommendations.

Analyzed financing barriers among minority-owned small businesses in an OER-funded study. Built a four-module R causal inference pipeline using propensity score matching, inverse probability weighting, Heckman selection models, and mediation analysis.

Developed regression models for evacuation timing in collaboration with NASA. Applied simulation, statistical modeling, and Design of Experiments techniques for urban evacuation planning.

Ph.D. program in Economics focused on health economics, causal inference, and applied econometrics. Dissertation research examines health shocks, frailty dynamics, and labor supply in China’s aging population under CHARLS panel data.

M.S. in Quantitative Health Sciences at the John A. Burns School of Medicine. Coursework and training emphasized quantitative methods relevant to health research.

M.S. program in Industrial and Systems Engineering at Northern Illinois University, completed in 2012.

B.A. in Supply Chain Management at Tianjin University of Technology, completed in 2010.