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Clark Bowman


Clark Bowman
Clark Bowman

Assistant Professor of Mathematics and Statistics

Christian A. Johnson 111
315-859-4138

Clark Bowman’s favorite courses to teach have been in computational probability and statistics, and he hopes to bring a “big data” flavor to the statistics curriculum at Hamilton.

His dissertation focused on applied statistics — especially uncertainty quantification — and high-performance modeling in cellular biology. He especially enjoys using statistical tools to connect mathematical models with real data, and he is currently working on large-scale data analytics and modeling of biomarkers from wearable devices (e.g., Fitbits) in collaboration with a research group at the University of Michigan Medical School. 

Bowman has a bachelor’s degree in mathematics and a bachelor’s degree in physics from the University of Rochester and a master’s degree and doctorate in applied mathematics from Brown University. He taught for one year as a postdoctoral fellow in the Mathematics Department at the University of Michigan.

Recent Courses Taught

Statistical Modeling and Applications
Probability Theory and Applications

Select Publications

  • “Dissipative particle dynamics simulation of critical pore size in a lipid bilayer membrane.” C. Bowman, M. Chaplain, and A. Matzavinos. Royal Society Open Science, 6 (3): 181657, 2019.
  • “Bayesian uncertainty quantification for particle-based simulation of lipid bilayer membranes.” C. Bowman, K. Larson, A. Roitershtcin, D. Stein, and A. Matzavinos. In Cell Movement: Modeling and Applications. Springer, 2018.
  • “Giant acceleration of DNA diffusion in an array of entropic barriers.” D. Kim, C. Bowman, J. T. Del Bonis-O'Donnell, A. Matzaviuos, and D. Stein. Physical Review Letters, 118 (4): 048002, 2017.
  • “The potential of iterative voting to solve the separability problem in referendum elections.” C. Bowman, J. K. Hodge, and A. Yu. Theory and Decision, 77 (1): 111-124, 2014.

Professional Affiliations

Society for Mathematical Biology
Society for Industrial and Applied Mathematics
American Mathematical Society

Appointed to the Faculty: 2019

Educational Background

Ph.D., Brown University
M.S., Brown University
B.S., University of Rochester

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