Editor’s Note
As part of our Inside Cainex series, we’re spotlighting the people shaping our vision for the future of healthcare AI. Each profile shares how their background, philosophy, and craft inform what we build.
This feature highlights Dr. Yisong Yue, Cainex’s working advisor and Professor of Computing & Mathematical Sciences at Caltech — a world-class researcher whose work bridges the frontier of machine learning and the real-world complexity of healthcare.
Dr. Yisong Yue has spent his career teaching machines how to learn — and, more importantly, how to understand.
At Caltech, where he leads the Machine Learning & Optimization Lab, Yisong’s research spans reinforcement learning, structured prediction, and decision-making systems that must operate safely and transparently in the real world. His work has influenced everything from autonomous systems to recommendation engines — and now, the emerging generation of agentic AI.
Yisong’s collaboration with Cainex began with a shared conviction: that the next leap in artificial intelligence won’t just come from larger models, but from smarter ones — systems that can reason, adapt, and explain their choices. As a hands-on advisor, he helps guide Cainex’s research and development strategy, ensuring that the platform’s intelligence is both scientifically rigorous and practical for healthcare operations at scale.
For investors, Yisong’s involvement brings an uncommon level of technical depth and credibility. For engineers and researchers, it offers the chance to work directly with one of the field’s foremost minds, applying cutting-edge reasoning models to some of the hardest, highest-impact problems in medicine.
Under his guidance, Cainex is turning academic innovation into infrastructure: intelligence that not only predicts, but understands.
Cainex is where scientific research meets clinical reality, and every improvement brings AI a little closer to human reasoning.
To hear more of Dr. Yue’s perspective on AI, watch his talk:
https://www.youtube.com/watch?v=sAKkRuJgLTQ