Duke Bass Connections: Energy Data Analytics Lab

Tracking Climate Change with Satellites and Artificial Intelligence

During the 2022–2023 academic year, I worked on a Bass Connections project with the Duke Energy Data Analytics Lab (EDAL), analyzing satellite imagery to track drivers of climate change. I built GeoNet, a large-scale dataset of Sentinel-2 images, and developed GeoEye, a pre-trained encoder for remote sensing data. Using these resources, I trained self-supervised learning models to identify patterns and extract actionable insights, contributing directly to data-driven climate research.