Paul Schmiedmayer

Paul Schmiedmayer, PhD, is the Lead Artificial Intelligence and Assistant Director of Digital Health at the Stanford Mussallem Center for Biodesign, and a postdoctoral researcher at Stanford University. His work bridges AI, medicine, and software engineering to develop scalable, patient-centered healthcare platforms.

He holds a doctoral degree (Dr. rer. nat., equivalent to a PhD in computer science) from the Technical University of Munich, alongside master's and bachelor's degrees in computer science from the same institution. His research focuses on creating methodologies for healthcare software engineering, leveraging AI and connected devices to deliver real-time personalized health insights while ensuring cost-effectiveness and privacy.

A key contribution is the Stanford Spezi open-source software ecosystem, designed to address challenges in healthcare software development. Spezi's modular architecture supports interoperability, healthcare standards, and AI integration, powering over 20 digital health projects globally with 1,800 GitHub stars and contributions from 90+ collaborators.

Dr. Schmiedmayer aims to integrate AI with clinical practice to identify digital biomarkers and make healthcare more equitable. His work emphasizes closed-loop systems that combine hardware-software innovation with clinical needs.