Associate Professor

V.G. Vinod Vydiswaran’s global work focuses on developing artificial intelligence and machine learning models that highlight factors such as social and behavioral determinants and clinical information hidden in health texts to improve health at both individual and population levels. V.G. Vinod’s interests in global health equity align with the Center’s themes of addressing social and environmental determinants of health and developing technical solutions for health equity. Vydiswaran’s primary interest is to use advanced data science to enhance healthcare outcomes. Key areas include analyzing social media for health information dissemination and consumer behavior and applying natural language processing to extract data from electronic health records and assess the trustworthiness of online health information.