School of Engineering
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Paul Schmiedmayer
Postdoctoral Scholar, Bioengineering
Current Research and Scholarly InterestsPaul Schmiedmayer's research applies computer science research to medicine, enabling digital health innovations. These include machine learning applications and deployments, heterogeneous connected devices, health data standards such as FHIR, and software engineering best practices.
He leads the development of the Stanford Spezi framework and ecosystem, enabling the rapid development of digital health innovations. He is a co-instructor of the Building for Digital Health (CS342) course.