Dave Van Veen
PhD Candidate
Stanford University
I’m passionate about leveraging emerging technology to make healthcare more equitable, efficient, and patient-centric.
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:
- developing foundation models to improve healthcare outcomes
- 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 founded and led a 150-person organization to build a hyperloop pod for SpaceX.
news
Sep 2024 | Successfully defended my PhD thesis entitled Data-Efficient Machine Learning for Image Reconstruction and Text Summarization in Biomedicine. |
Jun 2024 | Our lab is proud to release two vision language foundation models: CheXagent for chest x-rays and Merlin for computed tomography. |
Mar 2024 | Presented our LLM work at the Apple ML Health Workshop, the University of Oxford, and the London School of Economics. |
Feb 2024 | Nature Medicine published our LLM paper on clinical text summarization! |
Jan 2024 | Began Stanford Ignite at the Graduate School of Business and joined the 2024 cohort of Cardinal Venture’s Technical Founders! |