James Hong

James Hong is a 3rd year PhD student in Computer Science at Stanford, advised by Kayvon Fatahalian. Previously, he was an undergraduate at Stanford, studying computer systems and network security. His current work focuses on analyzing large video collections, with a decade of cable TV news as an example.