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 built his career around one pursuit: creating machine learning systems that don’t just process information, but genuinely make sense of it.
At Caltech, where he leads the Machine Learning & Optimization Lab, his work spans reinforcement learning, structured prediction, and real-world decision systems that must be safe, interpretable, and reliable. His research has shaped the way modern ML models reason, influencing areas from autonomous systems to large-scale recommendations and now the fast-moving world of agentic AI.
Yisong began advising Cainex because he shares a core belief with our team: the next breakthrough in artificial intelligence will come from systems that can reason and adapt, not simply from models that grow larger. As an active advisor, he helps shape our research and development direction, grounding our platform in methods that are both scientifically sound and practical for healthcare operations.
For investors, his involvement signals deep technical rigor and long-term defensibility. For engineers and researchers, it is an opportunity to work directly with one of the leading thinkers in modern machine learning and apply advanced reasoning models to some of the most challenging problems in medicine.
With his guidance, Cainex is turning academic progress into operational intelligence that can understand context, support clinical workflows, and improve decisions at scale.
To hear more of Dr. Yue’s thinking on AI, you can watch his talk here:
https://www.youtube.com/watch?v=sAKkRuJgLTQ