I am a professor at the University of California and the principal investigator and director of a computational medicine research program, with faculty appointments in Pathology & Laboratory Medicine, Electrical Engineering & Computer Science, and Biomedical Engineering. My research group focuses on hypothesis-driven deep learning and generative AI, biomedical engineering, and clinical research to develop technologies for diagnosing and treating cancer, infectious diseases, and neurological disorders. We integrate deep learning, biological, and statistical methods to address challenges in personalized medicine. This research includes advancements in cancer diagnostics at the cellular level using companion diagnostic assays, generating novel medical images for unbiased, patient-centered care, and evaluating the impact of clinical decision-making on infectious disease and antimicrobial therapy—all under a unified theoretical and methodological framework. My team and I are developing a dynamic, living-systems framework for computational medicine, transitioning from static models to real-time, systems-wide perspectives on molecular and clinical processes. We aim to invent and deploy equitable medical technologies that improve patient outcomes and public health.

Read more about Pratik's research at the University of California here.