Summary
Ted Langhorst is a postdoctoral researcher with eight years of experience applying satellite remote sensing and machine learning to quantify water and sediment transport in rivers at global scales. Based at UMass Amherst after completing a PhD in Remote Sensing of Hydrology at UNC Chapel Hill, he blends geophysics and geological sciences training to turn noisy earth-observation data into actionable hydrologic insights. Ted’s work spans algorithm development, large-scale geospatial data processing, and field-validated modeling, enabling more accurate monitoring of fluvial dynamics from space. Based in Columbus, Ohio, he brings a rare combination of rigorous academic research and practical skills in scalable remote-sensing workflows that inform water resource management and sediment science.
8 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Geophysics, Bachelor’s Degree, Geophysics at The Ohio State University
PhD, Remote Sensing of Hydrology, PhD, Remote Sensing of Hydrology at University of North Carolina at Chapel Hill