Faculty Profile

Andrew Brouwer is a research investigator in the Department of Epidemiology at the University of Michigan. He received his BA in mathematics and chemistry and MA in mathematics from the SUNY College at Potsdam (2009) and his MS in environmental science and engineering from Clarkson University (2011), where he lectured briefly in the Department of Mathematics and Statistics. Andrew also earned his MS in applied and interdisciplinary mathematics (2013), MA in statistics (2015), and PhD in applied and interdisciplinary mathematics (2015) at the University of Michigan. He was a postdoctoral research fellow in the Department of Epidemiology at the University of Michigan for a year and a half before joining their faculty as a research investigator.

• Ph.D., Applied and Interdisciplinary Mathematics, University of Michigan, 2015
• M.A., Statistics, University of Michigan, 2015 
• M.S., Applied and Interdisciplinary Mathematics, University of Michigan, 2013
• M.S., Environmental Science and Engineering, Clarkson University, 2011
• M.A., Mathematics, SUNY College at Potsdam, 2009
• B.A., Mathematics, Chemistry, SUNY College at Potsdam, 2009

Andrew’s research is in mathematical and statistical modeling for biology and public health, particularly models of infectious disease and cancer. Specifically, Andrew has considered models of human papillomavirus (HPV) transmission and HPV-related cancers and how to integrate experimental data for pathogen decay and dose-response relationships into environmentally mediated infectious disease transmission models. Considerations of parameter identifiability and estimation are an underlying theme in Andrew’s work.

• Brouwer, A.F., Weir, M.H., Meza, R., Eisenberg, M.C., Eisenberg, J.N.S. (2017). Dose-response relationships for environmentally mediated transmission models. PLOS Computational Biology. 
• Brouwer, A.F., Meza, R., Eisenberg, M.C. (2017).  Parameter estimation for multistage clonal expansion models from cancer incidence data: a practical identifiability analysis. PLOS Computational Biology. 
• Brouwer, A.F., Eisenberg, M.C., Remais, J.V., Meza, R., Collender, P.A., Eisenberg, J.N.S. (2017). Modeling biphasic environmental decay of pathogens and implications for risk analysis. Environmental Science & Technology.
• Brouwer, A.F., Meza, R., Eisenberg, M.C. (2016). A systematic approach to determining the identifiability of multistage carcinogenesis models. Risk Analysis.
• Brouwer, A.F., Eisenberg, M.C., Meza, R. (2016). Age effects and temporal trends in HPV-related and HPV-unrelated oral cancer in the United States: A multistage carcinogenesis modeling analysis. PLOS One. 

Society of Mathematical Biology
Society for Industrial and Applied Mathematics
University of Michigan Comprehensive Cancer Center: Cancer Epidemiology & Prevention