Wenhao Wang is a doctoral student in the Gangarosa Department of Environment Health at the Rollins School of Public Health of Emory University. His research interests include environmental satellite remote sensing, application of machine learning algorithms in exposure assessment, large-scale ambient air pollution models, and environmental epidemiology, and the health effects of wildfire activities. Currently, he is investigating the wildfire-related fine particulate matter species spatiotemporal distribution in the western United States. He also studies the long-term cardiovascular health effect of exposure to major fine particulate matter components in a large prospective cohort in China.
Areas of Interest
- Air Pollution
- Epidemiology
- Exposure Assessment
- Machine Learning
- Remote Sensing
Education
- Bachelor of Medicine 2018, Huazhong University of Science and Technology
- Master of Public Health 2020, Emory University
Publications
- Wenhao Wang, Xiong Liu, Jianzhao Bi, Yang Liu, 2022, A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology, Environment International, 158, 106917
- Bryan N Vu, Jianzhao Bi, Wenhao Wang, Amy Huff, Shobha Kondragunta, Yang Liu, 2022, Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2. 5 levels during the Camp Fire episode in California, Remote Sensing of Environment, ,
- Chenyang Jiang, Wenhao Wang, Linlin Du, Guanyu Huang, Caitlin McConaghy, Stanley Fineman, Yang Liu, 2022, Field Evaluation of an Automated Pollen Sensor, International Journal of Environmental Research and Public Health, 19, 6444
- Qingyang Zhu, Jianzhao Bi, Xiong Liu, Shenshen Li, Wenhao Wang, Yu Zhao, Yang Liu, 2022, Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005–2019, Environmental Health Perspectives, 130, 027004
- Danlu Zhang, Linlin Du, Wenhao Wang, Qingyang Zhu, Jianzhao Bi, Noah Scovronick, Mogesh Naidoo, Rebecca M Garland, Yang Liu, 2021, A machine learning model to estimate ambient PM2. 5 concentrations in industrialized highveld region of South Africa, Remote Sensing of Environment, 266, 112713
- Liuhua Shi, Andrew Rosenberg, Yifan Wang, Pengfei Liu, Mahdieh Danesh Yazdi, Weeberb Réquia, Kyle Steenland, Howard Chang, Jeremy A Sarnat, Wenhao Wang, Kuo Zhang, Jingxuan Zhao, Joel Schwartz, 2021, Low-Concentration Air Pollution and Mortality in American Older Adults: A National Cohort Analysis (2001–2017), Environmental Science & Technology, 56, 7194-7202