Conference Chairs: Mark Gerstein (Yale University) and Isaac Kohane (Harvard Medical School) The future of personalized medicine is often envisaged as doctors interrogating a Dr. in a Box that integrates multiple streams of data whole patient genomes, blood tests, scans, and other information to detect anomalies, diagnose disease, monitor response to therapy, and track changes in health over time. Of particular importance will be the ability to predict disease risk and treatment responsiveness from personal genome information. Developing machine learning software to model the relationships between complex diseases and genome variation is a major challenge. The goal of this conference is to assess the state of the field and to stimulate development of open source solutions. The conference will also seek to address a range of issues surrounding the future adoption of such technology. The conference will be held May 3-5 on the Carnegie Mellon campus and is supported through a generous gift from Jonathan Rothberg and Family. It will begin right after lunch on that Friday and end Sunday afternoon. Confirmed speakers include Greg Cooper (Hudson-Alpha Institute), Nancy Cox (University of Chicago), Joel Dudley (Mt. Sinai Medical School), Mark Gerstein (Yale University), Murat Gunel (Yale University), Larry Hunter (University of Colorado, Denver), Naftali Kaminski (University of Pittsburgh), Rachel Karchin (Johns Hopkins University), Seyoung Kim (Carnegie Mellon University), Elaine Mardis (Washington University), Daniel MacArthur (Broad Institute), Barry Merriman (Life Technologies), Bud Mishra (New York University), Eric Schadt (Mt. Sinai Medical School), David Wheeler (Baylor College of Medicine), David Whitcomb (University of Pittsburgh), and Mark Yandell (University of Utah).