James Weimer

Assistant Professor of Computer Science

Research Focus

My research develops foundations and tools for safety guarantees and predictable performance of learning-enabled cyber-physical systems (CPS) - primarily targeting the internet-of-medical-things (IoMT) and autonomy. Specifically, my research aims to develop tools and techniques to address challenges arising from unmodeled variability, dataset shifts, anomalies, limited data, and sensing constraints. I apply my research to address real-world (medical) problems with an eye towards technology transfer and commercialization.