Faculty Profile

Andrew F. Brouwer, PhD, M.S., M.A.

Andrew F. Brouwer, PhD, M.S., M.A.

Assistant Research Scientist
  • M5073 SPH II
  • 1415 Washington Heights
  • Ann Arbor, Michigan 48109-2029

Andrew Brouwer is mathematical epidemiologist and modeler. He is currently an Assistant Research Scientist 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). 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 (2015-16) prior to joining the faculty as a research faculty member.

• PhD, 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 uses mathematical and statistical modeling to address public health problems. As a mathematical epidemiologist, he works on a wide range of topics (mostly related to infectious diseases and cancer prevention and survival) using an array of computational and statistical tools. Past work has addressed transmission of disease through the environment, as well as the epidemiology of the human papillomavirus (HPV) and HPV-related cancers. Some current projects include analyzing the impact of time-varying shedding on environmental pathogen surveillance, determining the impact of vaccination campaigns on Michigan’s hepatitis A outbreak, understanding the burden of HPV in transmasculine people, and characterizing patterns of transition between the use of cigarettes and e-cigarettes. Rigorous consideration of parameter identifiability, parameter estimation, and uncertainty quantification are underlying themes in Andrew’s work.

Modeling and epidemiology of enteric pathogens

Modeling and epidemiology the human papillomavirus

Epidemiology and modeling of other infectious diseases

Models of carcinogenesis and cancer survival

Trends and transitions in tobacco product use

Society of Mathematical Biology
Society for Industrial and Applied Mathematics
Rogel Cancer Center: Cancer Epidemiology & Prevention

Andrew Brouwer in the News