Vipin Kumar is a Regents Professor at the University of Minnesota, where he holds the William Norris Endowed Chair in the Department of Computer Science and Engineering. Kumar received a BE degree in Electronics Engineering from Indian Institute of Technology Roorkee in 1977, and a PhD degree in Computer Science from University of Maryland, College Park in 1982. Kumar’s current research interests span big data, machine learning and their applications in Climate/Ecosystems and health care. His research group has spearheaded the development of a new generation of machine learning algorithms that are able to leverage scientific knowledge to identify relationships between different components of a complex physical system even in presence of limited data. These knowledge-guided machine learning techniques are fundamentally more powerful than standard black-box machine learning approaches that often fail to generalize to unseen scenarios. His group has demonstrated the utility of these new approaches to a wide range of environmental problems.