Summary
Dave Van Veen is an AI Scientist with nine years of experience building machine learning systems that advance medicine at scale, currently leading research efforts at HOPPR after a multi-year research role at Stanford AIMI. He combines a PhD in Machine Learning from Stanford with hands-on industry experience at Subtle Medical and academic research positions, translating cutting-edge algorithms into clinically impactful products. Comfortable bridging research and engineering, he has led cross-disciplinary teams and complex projects since his student days, including running a 150-person engineering organization to build a Hyperloop pod. Based in San Francisco, he brings deep technical rigor in medical imaging and a track record of moving models from prototype to production while mentoring collaborators across academia and industry.
9 years of coding experience
10 years of employment as a software developer
Ignite Entrepreneurship, Ignite Entrepreneurship at Stanford University Graduate School of Business
Master of Science in Engineering - MSE Electrical and Computer Engineering, Master of Science in Engineering - MSE Electrical and Computer Engineering at The University of Texas at Austin
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at University of Wisconsin-Madison
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Stanford University
Spanish, English