Dave Van Veen
Multimodal AI Researcher | Stanford PhD
I build AI systems that advance medicine at scale.
Currently, I'm a Principal AI Scientist at HOPPR, where I develop multimodal models in radiology. My work spans model training, data pipelines, and agentic workflows across the ML stack. I thrive in high-stakes domains where decisions must be factual, safe, and aligned with human judgment.
Beyond building, I seek adventure—like bikepacking across Mexico—and solitude in nature via reading, surfing, and trail running with my dog.
bio
Dave earned his PhD in Electrical Engineering (EE) from Stanford under Akshay Chaudhari and John Pauly, where he developed algorithms for computational imaging and foundation models for medicine. He published 15+ papers (2400+ citations) across Nature, Nature Medicine, CVPR, ACL, et al.
Previously, Dave was a research scientist at a Bay Area start-up and Stanford's AIMI Center. He earned his MS at the University of Texas conducting machine learning research under Alex Dimakis and Sriram Vishwanath. Dave also served as a Data Science for Social Good fellow in London. During his BS in EE at the University of Wisconsin, he founded Badgerloop, a 150-person team that built a hyperloop pod for SpaceX.
news
| Mar 2026 | Merlin, our 3D CT foundation model (120K+ downloads), published in Nature. |
| Jan 2026 | Shared a blog post on my workflow with agentic coding. |
| Dec 2025 | Wrote an essay about my mother’s childhood on a small dairy farm, a world away from today. |
| Nov 2025 | HOPPR launches Presto: AI-assisted reporting that works inside existing workflows. |
| Sep 2025 | HOPPR ML introduces RadEval, an open-source radiology eval framework for AI-generated text. |