Daniel Kang did his bachelors and M.Eng at MIT, with his thesis in computational biology. He then went on to do another masters at the University of Cambridge, studying statistics and probability thanks to the generosity of a Churchill scholarship. After a fateful encounter with Professors Peter Bailis and Matei Zaharia, he’s now slaving away in the Stanford DAWN lab as a PhD student. Currently, his research focuses on deploying (unreliable) machine learning models efficiently and with guarantees. His research has primarily focused on video analytics and autonomous vehicles, but he’s willing to change his mind for food.