Educational Background

Ph.D. Chemistry (metabolomics), Miami University, May 2014

M.S. Chemical Engineering, Miami University, 2010

M.S. Environmental Engineering, Shandong University, China, 2007

B.S. Environmental Engineering, Shandong University, China, 2004

Selected Publications

1. 1. Mayonu, M., Babaee, S., Pollak, J., Jiang, L., & Wang, B. (2025). The application of machine learning in nuclear magnetic resonance (NMR) peak selection for metabolomics studies. Analytical Biochemistry, 116034. 
   2. Babaee, S., Mayonu, M., Demers, N. E., Toro-Farmer, G., Waidner, L. A., & Wang, B. (2026). Metabolomics analysis of eastern oysters (Crassostrea virginica) exposed to Vibrio cholerae toxin. International Journal of Environmental Health Research, 1-14. 
   3. Patoine, C., Sheffler, J., Sims, T., Gutierrez, V., Park, G., Mayonu, M., Wang, B. and Nagpal, R., 2026. Obesity-associated gut microbiome influences diet-induced metabolic and cognitive outcomes in older adults. Gut Microbes Reports, 3(1), p.2605879.
   4. Alonge, O; Wang, B; Ochima, OV; and Pearson, K, Mayonu M, Kuila, D.Liver Cell Culture on ITO-SAMs and Metabolite Analysis using NMR: Monomers for Biological Macromolecules  and Lipoprotein (submitted to Colloids and Surfaces A: Physicochemical and Engineering Aspects)
   5. Tran, T. T. T., Babaee, S., Wilson, D., Mayonu, M., Pollak, J., & Wang, B. (2026). Comparative Study of Machine Learning Methods for Modeling Graphene‐Based Adsorption in Water Treatment. Water Environment Research, 98(1), e70252. 
   6. Ochima, O. V., Alonge, O., Pollak, J. P., Wang, B., & Kuila, D. (2025). Investigation of enhanced adhesion of HEK293T cells on SAM-modified ITO surfaces using NMR metabolomics. Frontiers in Bioengineering and Biotechnology, 13, 1652675.
   7. Shobande M, Kumari A, Pearson M., Baker, J., Hall, N., Waters, R., Emehel C., Hill, D., Fowlkes, M., Dean T., Cannady R., Wang, B.* and Maldonado-Devincci, A., Adolescent intermittent ethanol exposure induces sex-specific and time-dependent changes in affective behaviors and metabolomic profiles, Frontiers in Behavioral Neuroscience 19 (2025): 1614537.
   8. Mayonu, M., Babaee, Deneyelle W, Jiang, L. & Wang, B. Evaluation of a new approach for principal component analysis application in metabolomics studies, Analytical Letters, 1-14, 2025 
   9. Gurung, B., Courreges, M. C., Pollak, J., Malgor, R., Jiang, L., Wang, B., & Wang, S. (2025). Non-invasive treatment of Clostridioides difficile infection with a human-origin probiotic cocktail through gut microbiome-gut metabolome modulations. Frontiers in Microbiology, 16, 1555220.
   10. Wang, B., McKenna, N., Pollak, J., Mayonu, M., & Jiang, L. (2025). The investigation of early metabolic level perturbation of northern quahog (Mercenaria mercenaria) in response to brevetoxin. Molecular Omics. 2025
   11. Pollak, J., Mayonu, M., Jiang, L., & Wang, B. (2024). The development of machine learning approaches in two-dimensional NMR data interpretation for metabolomics applications. Analytical Biochemistry, 695, 115654. 

Research

Dr. Wang’s research is highly interdisciplinary and he has worked on environmental science and engineering, solar cells, and metabolomics applications in human diseases and marine animals. His latest research is focused on metabolomics data interpretation approaches development using artificial intelligence (AI) techniques and their applications in drug effect of food compounds discovery, animal response to combinational environmental pollutants, diabetes, Alzheimer’s disease, and nutritional studies. He also works on instrumentation analysis using NMR and HPLC/MS in natural compounds discoveries for drug effects, natural dye studies for solar cells, and environmental pollutants photodegradation. Dr. Wang also serves on the editorial boards of journals such as Statistical Methods in Medical Research, and his research has been funded by NSF, NIH, DOD, and USDA.