About

Hi, I’m Pratyush Tripathy, a PhD student in Geography at UC Santa Barbara. I work at the intersection of geospatial data and machine learning, building AI models that fill critical data gaps and unlock analyses that would otherwise be infeasible across a range of environmental and societal applications.

My doctoral research focuses on estimating the causal impacts of extreme weather events on human and economic development in data-scarce regions, combining satellite imagery and AI to construct data that doesn’t otherwise exist, enabling rigorous causal identification in these settings.

To learn more, please check my Research and Publications.

Recent Work

• Tripathy, P., Baylis, K., Wu, K., Watson, J., & Jiang, R. (2026). Zero-shot inference strategies for smallholder (< 0.1 ha) agriculture field delineation with the Segment Anything foundation model. Science of Remote Sensing, 100425. https://doi.org/10.1016/j.srs.2026.100425