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Mark Borsuk’s research focuses on the development and application of mathematical models that integrate scientific information across natural, technical, and social systems. He is a widely-cited expert in Bayesian network modeling, particularly in its regular application to environmental and human health regulation decision-making. Borsuk is the originator of novel approaches for climate change assessment, which combine risk analysis, game theory, and agent-based modeling. His highly collaborative research has been funded by organizations including the National Science Foundation, Environmental Protection Agency, National Institutes of Health, National Institute of Environmental Health Sciences, and the U.S. Forest Service. He has authored or co-authored 75 peer-reviewed journal publications and 6 book chapters, making significant contributions to his field. Prior to joining Duke University, he was a faculty member at Dartmouth College for ten years, where he held an appointment at the Thayer School of Engineering. Borsuk holds a B.S.E. in Civil Engineering and Operations Research from Princeton University, and both an M.S. in Statistics, Decision Sciences and a Ph.D. in Environmental Science and Policy from Duke University. His post-doctoral training took place at the Swiss Federal Institute of Aquatic Science and Technology, where he advanced his research in decision analysis and integrated assessment. At Duke, he directs a new interdisciplinary research initiative focused on risk, uncertainty, and optimization in decision-making.
Duke University • Duke University, NC
Professor in the Department of Civil and Environmental Engineering.
Dartmouth College • Dartmouth College, NH
Faculty member at the Thayer School of Engineering.
Department of Biomedical Engineering (MS program)