GRAIN selected as an AGU Impactful Dataset!
The GRAIN dataset on global irrigation canals has been selected as an AGU Impactful dataset. It will be featured in an upcoming commentary in AGU Advances.
The GRAIN dataset on global irrigation canals has been selected as an AGU Impactful dataset. It will be featured in an upcoming commentary in AGU Advances.
Launched an interactive viusalizer to explore the newly created GRAIN Canal Dataset. GRAIN is a first of its kind open-access geospatial dataset of the world's irrigation canals.
Check out the LinkedIn post for more details.
We were featured in the Washington Post for our work on Hydropower dams and its impact on downstream flooding. Read the article to learn more about the adversities faced by sudden dam releases in developing countries.
I am presenting a poster on the GRAIN dataset at AGU2025 Conference in New Orleans, on 18th December, 2025. Catch me at poster board #1321 to discuss more about GRAIN, and why it matters for Water, Food, and Climate.
I am a PhD student at the University of Washington specializing in
satellite remote sensing, hydrology, and data science.
My research focuses on the intersection of hydropower, flood risk, and agricultural productivity,
with particular emphasis on understanding irrigation networks and water resource management at the global scale.
A core component of my work involves the development of large-scale, open-access Earth observation data products,
where I combine satellite imagery analysis, machine learning, and hydrological modeling to generate datasets that enable reproducible and policy-relevant research on water–food systems.
Outside of research, I enjoy photography as a hobby, yet another form of remote sensing, but with considerably fewer satellites!
Check out some of my shots.
A curated mix of recent research works, projects, and collaborations
Have a question or collaboration idea? Send me a message here.
