I graduated with a Master’s in Urban Planning from Columbia University and a B.A. in Geography from Clark University (cum laude). My academic journey has been rooted in one core passion: using spatial data and technology to improve the environments we live in.

At Clark, I first discovered the power of Geographic Information Science (GIS) through courses like GIS & Land Change Models and Geospatial Analysis with R, where I explored remote sensing, land cover classification, and spatial statistics. I also gained hands-on experience with the TerrSet/IDRISI platform at Clark Labs, which laid the groundwork for my technical confidence.
Building on that foundation, my time at Columbia sharpened my ability to turn data into real-world urban insights. For my thesis, I developed a 30-meter resolution Urban Heat Risk Index in New York City, integrating satellite imagery, LiDAR, mobility data, and population vulnerability to identify block-level climate risk. I became especially interested in how movement patterns intersect with environmental exposure, and how spatial modeling can inform just, targeted interventions. Along the way, I deepened my skills in Python, ArcGIS Pro, Google Earth Engine, and spatial statistics — not just as tools, but as languages to tell stories about inequality, adaptation, and urban change.

My experiences across disciplines and cities have reinforced one belief: to create better cities, we need to understand how people move, adapt, and experience the environment — spatially and socially. That’s the intersection I hope to keep exploring.