Scott Steinschneider

Scott Steinschneider is an Associate Professor in Biological and Environmental Engineering at Cornell University's College of Agriculture and Life Sciences. His research develops decision-support tools for water resource management under climate uncertainty, combining statistical hydroclimatology with systems optimization.

Research focuses on hydroclimate variability, climate risk quantification, and adaptation strategy development. Current projects include flood risk assessment in coastal regions, paleoclimate-informed water system vulnerability analysis, and machine learning applications in hydrologic forecasting. Work spans multiple scales from short-term operational forecasts to long-term infrastructure planning.

Teaching includes courses on hydrologic engineering, multivariate statistics for environmental applications, and sustainable water resources design. Recognized with an NSF CAREER Award for integrating physical insights with deep learning for robust hydrologic projections.