Researcher | Educator | Consultant | Medical Doctor
With formal training in computer science, physics, systems engineering, and medicine, I specialize in analyzing complex systems that span biomedical, computational, and physical domains. My objective is to help ensure that emerging AI, biotechnological, and neurotechnological systems improve human well-being and capability while preserving the safety, autonomy, and dignity which every person deserves.
In the past I worked as a researcher in biomedical AI, neurotechnology, and AI safety at Stanford Medical School, leading an AI/ML research group in the Department of Neurosurgery in affiliation with the Petritsch Lab. Prior to this I conducted research in clinical imaging AI at Stanford Medical School, theoretical biophysics and complex systems science at the Stanford Institute for Theoretical Physics, computational neuroscience at Washington University, quantum hardware at Princeton, and computational drug design and protein physics at UCSF.
*Degree completed, to be formally issued March 2026
In 2022, professors at Stanford University approached Bryce-Allen Bagley about consulting for a biomedical AI startup being spun up at Stanford, seeking his unique blend of expertise in AI, computing, complex systems, physics, and medicine. In the years since, he has provided interdisciplinary consulting for companies across MedTech, Biotech, and AI.
To ensure that emerging medical AI, AI-driven biotechnologies, and neurotechnologies are developed and deployed with the technical rigor and foresight their societal impact demands.