Umberto Mignozzetti is an Assistant Professor and computational political scientist at UC San Diego who blends deep learning with political methodology to fuse tabular and rich non-tabular data (images, video, audio, GIS) for social-scientific inference. With a decade of experience and a PhD from NYU, his research tackles practical governance challenges in developing democracies—improving public goods provision and exposing mechanisms like elite capture and accountability failures. His work appears in top journals including AJPS and BJPS, and he brings a rare technical emphasis on multimodal model design to comparative politics. Colleagues value his ability to translate complex ML methods into policy-relevant insights that inform legislative and climate-related decision-making.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Political Science and Government, Doctor of Philosophy - PhD, Political Science and Government at New York University
Contributions:85 commits, 70 pushes, 1 branch in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Umberto Mignozzetti - Assistant Professor at UC San Diego