Imaging Remote Sensing | Computer Vision | GeoAI

I am a geospatial scientist.

My work is cross-disciplinary, spanning imaging remote sensing, computer vision, and geospatial science. I work with optical imagery, including multispectral and hyperspectral data, as well as synthetic aperture radar (SAR) and drone-based imagery.

I focus on how imagery can be used to derive and interpret spatial evidence. This includes understanding how computational methods can reveal information about the world, how synthetic and manipulated imagery can challenge the reliability of that evidence, and how these technologies can be developed and applied responsibly. A specific problem I am currently investigating is the detection of deepfake satellite imagery.

As a Geospatial Data Scientist at the World Bank Independent Evaluation Group, I develop methods that transform remote sensing and street-view imagery into independent sources of spatial evidence for evaluating international development projects.

I completed my postgraduate education at the University of Oxford and the University of Edinburgh.

I am also a certified drone pilot.

Highlighted Papers

Advancing Deepfake Detection in RGB Satellite Imagery Through Domain Specific Ensembles

Does Adoption of Zero Tillage Reduce Crop Residue Burning? Evidence from Satellite Remote Sensing and Household Survey Data in India

Leveraging Imagery Data in Evaluations. Application of Remote-Sensing and Streetscape Imagery Analysis