Abstract: The biomedical research community is incredibly productive, producing over one million new publications per year. However, the knowledge contained in those publications usually remains in unstructured free text, or is fragmented across unconnected data silos. Here, I will describe recent efforts to integrate biomedical knowledge into large, heterogeneous knowledge graphs, and to mine those knowledge graphs to identify novel testable hypotheses

Bio: Andrew is a Professor at the Scripps Research Institute in the Department of Integrative Structural and Computational Biology (ISCB). His research focuses on building and applying bioinformatics infrastructure for biomedical discovery. His research has a particular emphasis on leveraging crowdsourcing for genetics and genomics. Representative projects include the Gene Wiki, BioGPS, MyGene.Info, and Mark2Cure, each of which engages the crowd to help organize biomedical knowledge. These resources are collectively used millions of times every month by members of the research community, by students, and by the general public.