He has developed and improved auto-scaling code for one of Yelp’s most expensive compute clusters. Previously, David worked at Inverse Limit, where he received federal funding from DARPA as well as money from Google’s ATAP program to do research and development on a wide range of projects. David received his PhD in computer science (with a focus in Operations Research) from the University of Illinois, Urbana-Champaign under the supervision of Dr. Sheldon Jacobson. David has an established track record as a public speaker; his most recent presentation was to a large audience at AWS re:Invent 2016. He has also given multiple presentations at the INFORMS Annual Meetings, as well as other venues.