Summary
Jonathan Chen is an Associate Professor and clinician-researcher who builds AI-driven informatics systems to surface the latent knowledge in real-world clinical data and return it to clinicians as practical decision support. With eight years of software and academic experience anchored at Stanford Medicine, he marries hands-on clinical practice with machine learning, reproducible analytics, and a history of translating computer science research into applied expert systems (including an earlier startup in organic chemistry tools). His work spans over 100 publications and NIH- and informatics-funded projects, and he is comfortable operating at the intersection of patient care, data science, and product delivery. Notably, he retains an uncommon mix of bedside experience and system-level thinking that informs pragmatic, deployable solutions for continuously learning health systems.
8 years of coding experience
8 years of employment as a software developer
Stanford University