Exposome
Integrating the environmental and social context of health.
Environmental epidemiology & data science
Hui Hu, PhD
Connecting environment, data, and population health.
I integrate geospatial exposure data with population health datasets and use causal inference and machine learning to study how environments shape disease risk and health disparities.
Harvard Medical School
Associate Epidemiologist
Channing Division of Network Medicine
Brigham and Women's Hospital
Health data science
Machine learning and integration of multi-scale health data.
Population health
Environmental, cardiovascular, and perinatal epidemiology.
Selected work
Google Scholar →The spatial and contextual exposome and subtypes of hypertensive disorders of pregnancy: a double machine learning-based analysis
Methodological challenges in spatial and contextual exposome-health studies
A spatial and contextual exposome-wide association study and polyexposomic score of COVID-19 hospitalization
News & highlights
All news →I co-hosted the SPACESCANS workshop at ISEE 2026 in Munich, introducing tools for spatiotemporal exposome linkage and analysis. Explore the workshop and materials →
I presented “Integrating Multi-Source Geospatial Data to Advance Human Exposome Research: Challenges and Opportunities” at the 2026 Joint Statistical Meetings in Boston.
Our study of the spatial and contextual exposome and subtypes of hypertensive disorders of pregnancy, using double machine learning, was published in Exposome.
About my work
My research connects environmental epidemiology with geospatial analysis, machine learning, and causal inference. I develop methods to harmonize data on the natural, built, and social environments and link them with electronic health records, vital statistics, and prospective cohorts. My goal is to identify environmental determinants of disease and inform prevention across the life course.
Background
I received my PhD from University of Florida co-mentored by Dr. Xiaohui Xu and Dr. Linda B. Cottler. I received my bachelor’s degree from Fudan University. I completed a master’s degree in Computer and Information Technology at the University of Pennsylvania in 2025. I was also a fellow in the Insight Health Data Science Program.
Selected honors & awards
- The Sandra A. Daugherty Award for Excellence in Cardiovascular Disease or Hypertension Epidemiology, American Heart Association, 2019
- Insight Health Data Science Scholarship, Insight Data Science, 2016
- ISEE Travel Award, International Society for Environmental Epidemiology, 2014
- Outstanding Research Award, University of Florida, 2013