Web of Science Research
I am broadly interested in using geospatial data, machine learning, and econometric methods to study a wide range of environmental and human challenges. Some of the key topics I have worked on or continue to explore include (hover or tap a tile to read more):
Floods
I built Global Flood Mapper, a cloud-based tool that maps flood extent from Sentinel-1 SAR and assesses impacts on land cover and population.
My dissertation examines the causal impacts of floods on agricultural productivity.
Agriculture
I generate high-resolution agriculture maps in smallholder, data-scarce settings, using foundation models under zero-shot and few-shot learning.
Urban Analysis
Earlier in my career I worked on urban growth modeling, building height estimation, road network analysis, and air pollution drivers. Urban systems remain a lens I bring to new research questions.
Open-Source Tools
- PyRSGIS – raster processing in Python
- Global Flood Mapper – rapid flood mapping
- COINS – street network continuity
I am always looking to improve and expand these tools. If you’re interested in collaboration or have ideas, feel free to reach out!