Kevin Brown is a complex systems scientist. He researches complex biological systems, particularly networks arising in systems biology, systems neuroscience, and cognitive science. He employs methodology from machine learning, dynamical systems, network theory, Bayesian and nonparametric statistics, computational biology, and employing a mix of data-driven and model-driven approaches.

Employment:
Research Assistant Professor, University of Connecticut, Chemical and Biomolecular Engineering and Department of Marine Sciences, 2011-2013

Assistant Professor, University of Connecticut, Departments of Biomedical Engineering, Chemical and Biomolecular Engineering, Physics, and Marine Sciences, 2013-2018

Assistant Professor, Oregon State University, Department of Pharmaceutical Sciences and Chemical, Biological, and Environmental Engineering, 2018-present

Research Highlights:
I am interested in complex biological systems: networks of genes and proteins, neurons in the brain, and words in spoken and written language. My theory of Sloppy Models has important implications for systems in ecology, chemistry, neuroscience, physics, and even atmospheric science.