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Penn AI Seminar featuring Mathias Unberath (Johns Hopkins University)

09-15-26
12:00 pm - 2:00 pm
Amy Gutmann Hall, Room 414
Hybrid
AI + Health Icon

Digital Twins and Shadows for Ambient and Embodied Surgical AI 

Digital twins and shadows are computational representations of the real world and complex processes therein. In this talk, I will present our recent work on, first, creating high-utility digital twins for peri-operative applications, and second, leveraging them to solve some of the most pressing challenges in surgical AI: addressing the data shortage, developing generalizable algorithms, and bringing AI into the physical world.  

Zoom

Sponsored by:
Penn AI Logo Penn Engineering IDEAS Center Logo Data Driven Discovery Initiative at Penn Arts & Sciences Logo

Speaker

Mathias Unberath Headshot Mathias Unberath Johns Hopkins University John C. Malone Associate Professor

Mathias Unberath builds the future of physical AI for healthcare. As the John C. Malone Associate Professor of Computer Science at Johns Hopkins University and co-founder and CTO of venture-backed Inner Logic, he leads programs in both academia and industry. At Hopkins, he holds appointments across Engineering, Medicine, and Nursing. With more than 250 publications, over 20 international best-paper awards, and recognition including the NSF CAREER Award, NIH Trailblazer Award, and Google Research Scholar Award, Mathias is among the leading voices shaping AI-driven healthcare.