Matt Franchi is a Computer Science PhD Candidate at Cornell University’s New York City campus, Cornell Tech. His research focuses on dense street imagery, privacy & context, urban data science, computational social science, urban design, and computer vision.He completed his bachelor’s degree in computer science at Clemson University’s Honors College, and previously served as a research fellow at Hayden AI Technologies. His research is supported by the Cornell Tech Urban Tech Hub, Cornell Dean’s Excellence Fellowship, the Siegel PiTech PhD Impact Fellowship, and the Digital Life Initiative Doctoral Fellowship.

Franchi’s research has garnered coverage in outlets including The New York Times, The Economist, Gothamist, and local NYC news networks. His academic work spans multiple domains, from developing methodologies for urban traffic analysis to detecting disparities in police vehicle deployments. Beyond his academic pursuits, he is also a musician who plays and composes classical and neoclassical piano music.