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 a member of 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. Daniel's research is partially supported by the NSF GRFP and the Google PhD fellowship.

You can contact him at [first initial][first initial][last name] at stanford dot edu

I'm on the academic job market this year! You can see my application materials here.