Bin Wang

Associate Professor
binwang@pku.edu.cn
Xueyuanlu No. 38, Haidian district, Beijing, China
Peking University

Personal profile

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 main interest is to adopt multidisciplinary study methods such as environmental chemistry, epidemiology, clinical medicine, and artificial intelligence to explain the migration and transformation processes of environmental pollutants in human body, reveal the impact and biological pathways of regional environmental pollution exposure on population reproductive health and chronic diseases, and construct various models for human health risk assessment and prediction. I created the exposome platform ExposomeX (www.exposomex.cn), building a complex network relationship and machine learning prediction models to explore the link of "Exposome-Biological pathway-Disease". I have presided over three projects from National Natural Science Funding in China (NSFC) as the principal investigator, and participated in three national key research and development projects as backbone member. As the first or corresponding author, I have published a total of 55 papers in international authoritative journals (H-index = 40, he-cited more than 5000 times), e.g., Environ Health Persp, Environ Sci Tech, Environ Sci Tech Lett, The Innovation, and China CDC Weekly. I served as the Topic Editor of “Machine Learning and Public Health” in the TOP journal “Environmental Science & Technology”, as well as editorial board member of the authoritative journals (Environment & Health, Eco-Environmental Health, Hygiene and Environmental Health Advances, China CDC Weekly, and Journal of Environmental Hygiene). I teach the undergraduate course "Exposomics", the postgraduate course "Exposomics", and the international high-end global health public health master's program "Environment & Health". I served 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.

Main research directions

Environment Health, Exposome, Bioinformatics and Artificial intelligence

Representative scientific research projects

1 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, Ongoing.

2 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.

3 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, Ongoing.

4 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.

5 National Key Research and Development Program, 2020YFC0846300, Study on the Epidemiological Characteristics and Evaluation of Prevention and Control Strategies of the COVID-19 Spreading, 2020/04-2021/04, 4,000,000 RMB, Backbone Member, Completed.

6 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.

7 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 representative papers

1 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.

2 Wang B, Pang Y, Li K, Jiang J, Zhu Y, Li Z, Pan B, Zhang L, Zhang Y, Ye R, Li Z*. First evidence on the adverse effect of maternal germanium exposure on fetal neural tube defects, Environ Sci Technol Lett. 2023, 10: 192–197.

3 Feng Y, Su S, Lin W, Ren M, Gao N, Pan B, Zhang L, Jin L, Zhang Y, Li Z, Ye R, Ren A, Wang B*. Using Machine Learning to Expedite the Screening of Environmental Factors Associated with the Risk of Spontaneous Preterm Birth: From Exposure Mixtures to Key Molecular Events, Environ Sci Technol Lett, 2023, 10, 11, 1036–1044.

4 Wang B#,*, Fu J#, Gao K, Liu Q*, Zhuang L, Zhang G, Long M, Na J, Ren M, Wang A, Liang R, Shen G, Li Z, Lu Q. Early Pregnancy Loss: Do Per- and Polyfluoroalkyl Substances Matter? Environ Int, 2021, 157: 106837.

5 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.

6 Liu X, Chen D*, Wang B*, Xu F, Pang Y, Zhang L, Zhang Y, Jin L, Li Z, Ren A. Does low maternal exposure to per- and polyfluoroalkyl substances elevate the risk of spontaneous preterm birth? A nested case-control study in China. Environ Sci Technol. 2020, 54: 8259-8268.

7 Ren M#, Pei R#, Jiangtulu B#, Chen J#, Xue T, Shen S, Yuan X, Li K, Lan C, Chen Z, Chen X, Wang Y, Jia X, Li Z, Rashid A, Prapamontol T, Zhao X, Dong Z, Zhang Y, Zhang L, Ye R, Li Z, Guan W*, Wang B*. Contribution of temperature increase to restrain the transmission of COVID-19 in China. The Innovation, 2020, 2: 100071.

8 Jia X#, Chen J#, Li L#, Na Jia*, Jiangtulu B, Xue T, Zhang L, Li Z, Ye R, Wang B*, Modeling the prevalence of asymptomatic COVID-19 infections in the Chinese Mainland. The Innovation, 2020, 1: 100026.

9 Wang B#, Jin L#, Ren A*, Yuan Y, Liu J, Li Z, Zhang L, Yi D, Wang LL, Zhang Y, Wang X, Tao S, Finnell RH. Levels of polycyclic aromatic hydrocarbons in maternal serum and risk of neural tube defects in offspring. Environ Sci Technol, 2015, 49: 588-596.

10 Wang B, Li K, Jin W, Lu Y, Zhang Y, Shen G, Wang R, Shen H, Li W, Huang Y, Zhang Y, Wang X, Li X, Liu W, Cao H, Tao S*. Properties and inflammatory effects of various size fractions of ambient particulate matter from Beijing on A549 and J774A.1 cells. Environ Sci Technol, 2013, 47: 10583-10590.

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