V.G. Vinod Vydiswaran is an Associate Professor of Learning Health Sciences, Medical School, and an Associate Professor of Information, School of Information, at the University of Michigan. His research interests are primarily in natural language processing, large-scale text mining and analysis, and information trustworthiness as well as data mining, information extraction, machine learning, building learning health systems, and working on applications of algorithmic models to address real world challenges in healthcare. His current research focuses on mining and analyzing health information from multiple sources, including scientific literature, community health forums, and social and information networks. He is specifically interested in analyzing online medical textual information to infer credibility of sources and the claims they make.