Dave Van Veen

I’m passionate about using data to solve important problems in areas such as healthcare, education, and social equity. My primary ambition is to guide emerging technology’s impact toward beneficial outcomes.

Currently I am a final-year PhD candidate in Stanford’s Electrical Engineering (EE) Dept advised by John Pauly and Akshay Chaudhari.
My research includes two major threads:

1. developing foundation models to improve healthcare outcomes
2. designing machine learning (ML) algorithms for inverse problems in computational imaging and signal processing

bio

Prior to beginning his PhD, Dave spent two years as a research scientist at a Bay Area start-up and the Artificial Intelligence in Medicine & Imaging (AIMI) center at Stanford. Previously he earned a MS in EE at the University of Texas conducting ML research under Alex Dimakis and Sriram Vishwanath, during which he also served as a Data Science for Social Good fellow in London. Before that Dave earned a BS in EE at the University of Wisconsin, where he created and led a 150-person organization to build a hyperloop pod for SpaceX.