Dave Van Veen

I’m passionate about exploring new ways we can use data to solve important problems in areas such as medicine, education, and socioeconomic disparity. Ultimately my goal is to steer emerging technology’s societal impact in a more positive direction.

Currently I am pursuing a PhD in Stanford’s Electrical Engineering (EE) Dept advised by John Pauly, Akshay Chaudhari, and Gordon Wetzstein. My research is focused on developing machine learning (ML) algorithms for computational imaging problems, from computer vision applications to physics-based modalities such as MRI and cryo-EM. I’m also excited about harnessing foundation models to improve healthcare workflows.

bio

Prior to beginning his PhD, Dave spent two years as a research scientist at a Bay Area start-up and the Artifical 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.