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Scott Hamshaw, Ph.D., P.E.

Scott Hamshaw, Ph.D., P.E. is a Machine Learning Specialist in the Analysis & Prediction Branch of the USGS Water Resources Mission Area. 

Scott Hamshaw received his Ph.D. in Civil & Environmental Engineering from the University of Vermont where he undertook mapping of watershed erosion and data-driven modeling of sediment transport in the Lake Champlain Basin. After completing his Ph.D., he was a postdoctoral associate and research assistant professor at the University of Vermont applying machine learning to water resource problems as well as teaching land surveying and mapping. Prior to his Ph.D., Scott worked as a consulting engineer in Burlington, VT practicing stormwater management, water system design, and site engineering. Scott joined the Analysis & Prediction Branch of the Water Resources Mission Area in 2021 and is based in Bristol, VT.   

Scott’s interests are in the broad area of applied machine learning and water resource engineering with emphasis on using data-driven approaches to understand dynamics in streamflow and river water quality. Scott is active in national-scale research on applying deep learning methods to the prediction of water quantity and quality in rivers across the U.S.