Assistant Professor of Computer Science
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.