02/2024-to present Associate Professor: Institute of Reproductive and Child Health Department of Epidemiology and Health Statistics, School of Public Health, Peking University, Beijing, P. R. China
01/2018-01/2024 Assistant Professor: Institute of Reproductive and Child Health Department of Epidemiology and Health Statistics, School of Public Health, Peking University, Beijing, P. R. China
08/2013-12/2017 Assistant Researcher: Institute of Reproductive and Child Health Department of Epidemiology and Health Statistics, School of Public Health, Peking University, Beijing, P. R. China
03/2014-05/2015 Visiting scholar: College of Veterinary Medicine, Michigan State University, East Lansing, MI, USA
09/2008 - 07/2013 PhD, College of Urban and Environmental Sciences, Peking University, Beijing, P.R. China
12/2010 - 12/2011 Visiting PhD candidate, Department of Energy, Environmental & Chemical Engineering, Washington University, St. Louis, MO, USA
09/2004 - 07/2008 BE, Department of Environmental Science and Technology, Dalian University of Technology, Dalian, P.R. China

My primary research interests lie in environmental health, exposomics big data, and artificial intelligence. I co-lead the development of the exposomics platform ExposomeX (www.exposomex.cn), which facilitates causal inference research on "Exposure-Biology-Disease" associations. To date, I have served as Principal Investigator for 5 projects funded by the National Natural Science Foundation of China (including both Young Scientists Fund and General Program), and as a key participant in three National Key R&D Programs of China. I have published over 70 papers as first or corresponding author in internationally renowned journals such as Environmental Health Perspectives, Environmental Science & Technology, The Lancet Regional Health-Western Pacific, and The Innovation (H-index = 54, with over 6,500 citations). I serve as an Associate Editor for Environmental Science & Technology in the areas of AI, big data, and environmental health. I have developed and taught an undergraduate and graduate course on "Exposomics" at Peking University, which received the "Peking University Top Ten Excellent Undergraduate Teaching Cases" award. I also serve as the leader of the "Environment and Population Health" working group of the China Cohort Consortium platform. I won the Second Prize of Science and Technology of Beijing Preventive Medicine Association and the title of "Excellent Individual in the National Science and Technology System to Fight the COVID-19 Pandemic" in China.

Environment Health, Exposome Big Data, and Artificial intelligence

1. National Natural Science Foundation of China (General Program), Project No. 42677546, Development of an AI-Based Health Risk Assessment Model for Mixed Exposure to PM₂.₅ and Its Toxic Components in China, 01/2027-12/2030, RMB 490,000, Principal Investigator, Ongoing.

2. National Natural Science Foundation of China (General Program), Project No. 42477455, Development of a Predictive Model for PFASs Concentrations in Blood and Follicular Fluid of Reproductive-Age Women Based on Exposome Big Data, 01/2025-12/2028, RMB 470,000, Principal Investigator, Ongoing.

3. National Natural Science Foundation of China (NSFC), 42077390, Study on the Transfer Mechanism of Polycyclic Aromatic Hydrocarbons through the Blood-Follicular Barrier and the Influencing Factors among the Women of Childbearing Age, 2021/01-2024/12，570,000 RMB, Principal Investigator, Completed.

4. National Key Research and Development Program: Assessment and Application Demonstration of the Air Pollution Health Effect in Typical Areas, 2023YFC3708305, Sub-project V: "Research on the Tracing the Whole Chain of the Causes in Air Pollution induced Diseases and Evaluating the Disease Burden", Principal Investigator of Sub-project II, 2023/12-2027/11, 360,000 RMB, Principal Investigator, Ongoing.

5. National Key Research and Development Program: Intergovernmental International Cooperation on Science, Technology and Innovation (China and the United States), Exposure characteristics of typical emerging agrochemicals and their reproductive health risk assessment, 2022YFE0134900, Sub-project I: "Exposure characteristics of typical emerging agrochemicals and their correlation with reproductive health effects", Principal Investigator of Sub-project I, 2023/01-2025/12, 600,000 RMB, Principal Investigator, Completed.

6. National Natural Science Foundation of China (NSFC), 41771527, Study on the External and Internal Exposure Levels of Polycyclic Aromatic Hydrocarbons among Childbearing-age Women in North China, 2018/01-2021/12, 630,000 RMB, Principal Investigator, Completed.

7. National Natural Science Foundation of China (NSFC), 41401583, Urban-Rural Differences in Exposure to Fine Particulate Matter and Levels of Oxidative Stress Damage among Women of Childbearing Age, 2015/01-2017/12, 250,000 RMB, Principal Investigator, Completed.

8. Peking University Graduate Teaching Reform Project, JG2025151, Practice of Flipped Classroom Teaching in Environmental Health Supported by Foundation Models, 2025/03-2025/02, 30,000 RMB, Principal Investigator, Completed.

9. Undergraduate Teaching Reform Project of Peking University, JG2023137, Teaching Practice of Environmental Health Major Based on Exposome Big Data Platform, 2023/03-2014/02, 40,000 RMB, Principal Investigator, Completed.

10. Peking University Graduate Course Development Project, Interdisciplinary Teaching of Environment and Health Supported by an Exposome Big Data Interactive Platform, 12/2023–12/2024, RMB 20,000, Principal Investigator, Completed.

1. Wang B, Lan C, Zhang G, Ren M, Wu T, Gao N, Lin W, Feng Y, Zhang H, Jiangtulu B, Wang Y, Su S, Liu Z, Shao X, Zhao F, Peng B, Ji X, Chen X, Nian M, Yang J, and Fang M*. ExposomeX: Development of an Integrative Exposomic Platform to Expedite Discovery of the “Exposure-Biology-Disease” Nexus. Environmental Science & Technology, 2025, 59(26):13251-13263.

2. Shi H, Wang T, Bai C, Wang P, Kwok F, Li W, Jing L, Zhu Q, Wang R, Chen J, Yang H, Ding J, Ramanason M, Biswal S, Fan H, Shen Y, Ren M, Wang B^*, Yuan J^*, Zhang Z^*. Climate hazards and mental health hospitalizations in China: socioeconomic disparities, demographic drivers, ando adaptation-a nationwide population-based study. The Lancet Regional Health-Western Pacific 2026, 73: 101930.

3. Chen Y, Liu G, Yang S, Wang B*. Control Priorities for Persistent Organic Pollutant Mixture Based on Neurodevelopmental Disorders. Environmental Science & Technology. 2026, 60(31): 21440-21452.

4. Zhang Q, Yuan Y, Liu Y, Yang J, Zhou T, Zhang H, Chen L, Cui Y, Wang Y, Zhao R, Xiao Q, Meng Q, Jiang J, Hao W, Wang B^*, Wei X^*. Integrated Evidence for Lysosomal Dysfunction-Mediated Iron Dysregulation induced by PM_2.5 Exposure. Environmental Science & Technology. 2026, 60(7): 5324-5336.

5. Wang B, Wu T, Shou Y, Ma Y, Ren M, Gago-Ferrero P, Schlenk D, Fang M. Building the Foundations of AI-Driven Toxicology: How to Use Fragmented Data for Mechanism-Based Human Health Risk Assessment. Environmental Science & Technology. 2026, DOI: 10.1021/acs.est.5c17092

6. Wu T, Zhao L, Ren M, He S, Zhang L, Fang M, Wang B*. Small-Sample Learning for Next-Generation Human Health Risk Assessment: Harnessing AI, Exposome Data, and Systems Biology. Environmental Science & Technology, 2025, 59(1):5-10.

7. Zhang G, Lin W, Gao N, Lan C, Ren M, Yan L, Pan B, Xu J, Han B, Hu L, Chen Y, Wu Y, Zhuang L*, Lu Q*, Wang B*, Fang M. Using Machine Learning to Construct the Blood-Follicle Distribution Models of Various Trace Elements and Explore the Transport-Related Pathways with Multiomics Data. Environmental Science & Technology. 2024, 58, 18: 7743-7757.

8. Wang B^#,*, Chen Z^#, Ren L^#, Uncontrolled Bias in Quantifying the Contribution of the Exposure Mixture on Neurotoxicity. Science, 2024, DOI: 10.1126/science.adq0336#elettersSection

9. Zhao F, Li L, Lin P, Chen Y, Xing S, Du H, Wang Z, Yang J, Huan T, Long C, Zhang L, Wang B*, Fang M*. HExpPredict: In Vivo Exposure Prediction of Human Blood Exposome using A Random Forest Model and Its Application in Chemical Risk Prioritization, Environ Health Perspect, 2023, 131:37009.

10. Fang M., Hu L., Chen D., Guo Y, Liu J, Lan C, Gong J*, Wang B*. Exposome in human health: Utopia or wonderland? The Innovation, 2021, 2: 100172.

Note：^*Corresponding author, ^#Co-first author