David Tarboton is a hydrology professor at Utah State University with over three decades of academic leadership and 13 years of documented professional experience focused on advancing hydrologic prediction. He develops models that leverage new sensor technology and process understanding to improve forecasting and water-resource decision making. As former Director of the Utah Water Research Laboratory, he has translated research into applied solutions for regional water challenges. Trained with a Sc.D. in Civil Engineering (Hydrology) from MIT and a BSc from the University of Natal, he blends rigorous theory with practical field insights. Based in Logan, Utah, he specializes in integrating novel information streams into predictive models—a niche that often uncovers overlooked sources of uncertainty in watershed prediction. Colleagues describe him as a methodical innovator who bridges disciplinary boundaries to make models more useful for managers and policymakers.
13 years of coding experience
6 years of employment as a software developer
Sc.D, Civil Engineering (Hydrology), Sc.D, Civil Engineering (Hydrology) at Massachusetts Institute of Technology
Bachelor of Science (BSc), Civil Engineering, Bachelor of Science (BSc), Civil Engineering at University of Natal
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David Tarboton - Professor at Utah State University