Richard Niswonger is a Principal Hydrologist with GSI. As a hydrologist and water resources scientist, Richard specializing in hydrologic modeling, water use estimation, and geospatial analysis. He is experienced in developing and applying physics-based/machine learning models for water resource assessments, integrating remote sensing data, and parameterizing groundwater models. Richard is skilled in GIS, Python-based data analysis, and leveraging AI for hydrologic applications.
He holds a BS in Environmental Engineering from Humboldt State University, an MS in Hydrogeology from the University of Nevada, Reno, and a PhD in Hydrologic Sciences from UC Davis. Throughout his career, he has collaborated with federal, state, and local agencies to address complex water challenges.