Sanjana Mendu is a data scientist and postdoctoral researcher with 11 years of experience building multimodal sensing and conversational AI systems for health and surgical settings. Currently at UVA Health after a fellowship at Harvard Medical School, she designs predictive models that analyze ECG, EEG, voice, and other physiological streams to evaluate intraoperative outcomes and team cognitive load in real-world operating rooms. Her PhD in Informatics from Penn State complements an MS and BS from the University of Virginia, and her research spans prompt-engineered LLM-based interventions, conversational agents for behavioral health, and deployed sensing platforms. She combines rigorous experimental work with applied deployment experience—having moved prototypes from lab studies to clinical simulations—and has collaborated across psychology, kinesiology, and clinical teams. Known for bridging human-centered design with advanced ML, she brings a rare mix of systems engineering, healthcare domain expertise, and practical experience integrating generative AI into patient-facing and clinician-support tools.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Penn State University
Master of Science - MS, Systems Engineering, Master of Science - MS, Systems Engineering at University of Virginia
Contributions:4 PRs, 13 pushes, 3 branches in 3 years 10 months
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