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    Seth Guikema

    Assistant Professor at Johns Hopkins University

    Seth Guikema is a distinguished researcher specializing in probabilistic systems modeling, risk analysis, uncertainty modeling, life-cycle assessment, and decision-making under uncertainty. He is dedicated to developing and applying innovative methods to evaluate complex systems and their environmental impacts for informed policy and management decisions.

    Having pursued his education at renowned institutions including Stanford University, University of Canterbury, and Cornell University, Seth holds a PhD in Risk and Decision Analysis, an M.S. in Civil & Environmental Engineering, an M.E. in Civil Engineering, and a B.S. in Civil & Environmental Engineering.

    Throughout his career, Seth has held various key positions in prestigious organizations such as the University of Stavanger, Johns Hopkins University, Innovative Decisions, Inc., Texas A&M University, and Stanford University, where he has contributed significantly to the fields of climate change-hurricane modeling, infrastructure systems modeling, public-sector environmental management decision-making, and modeling natural disasters.

    His specialties encompass a wide range of expertise including risk analysis, computational Bayesian modeling, data mining, decision analysis, count data regression analysis, and applied optimization analysis, making him a valuable asset in the realms of research, academia, and industry.

    Seth Guikema
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    Location

    Baltimore, Maryland, United States