Gabriel Agostini

Gabriel Agostini develops spatial models for data-driven policymaking to foster equity and livability in contemporary cities, working at the intersection of geography and machine learning. He is advised by Professors Emma Pierson and Nikhil Garg. Prior to joining Cornell Information Science, Gabriel earned a Bachelor of Science in Applied Mathematics and a Bachelor of Arts in Urban Studies at Columbia University.

 

Areas of Interest: Urban Data Science, Geography, Machine Learning