Robert Feldstein

Background

About Robert Feldstein

I am an economic consultant at Edgeworth Economics in Washington, DC. In this role, I apply statistical methods and economic principles to quantify damages in litigation.At Cornell, I conducted machine learning research on geospatial datasets, collaborating with Professor Guinness on deep-learning models that leverage real-time satellite data to forecast lightning strikes. This work, with significant implications for mitigating high-intensity storms, is particularly relevant as the climate crisis accelerates.Previously, I have gained diverse experience in data-driven roles at JP Morgan Chase, Exelon, and Oak Ridge National Laboratory. At Chase, I developed models to detect fraud in Zelle transactions using financial data. At Exelon, I built a neural network image classifier to identify electric meters from Google StreetView. At ORNL, I used ArcGIS and Python for flood risk modeling in Durham, NC, working with climate data to address real-world challenges.