Presented by BioArbor Life Science Forum and the University of Michigan Medical School Location: U of M North Campus Research Complex Bldg 18 CafeteriaDate: Wed June 6, 2012, 5-7:30 PMNetworking & Reception: 5:00PM Speaker and Q&A: 6:00PM The promise... [read more]
Presented by BioArbor Life Science Forum and the University of Michigan Medical School Location: U of M North Campus Research Complex Bldg 18 CafeteriaDate: Wed June 6, 2012, 5-7:30 PMNetworking & Reception: 5:00PM Speaker and Q&A: 6:00PM The promise of genomics gives humankind the hope of unprecedented future biomedical innovations. But the pace of biomedical innovation has slowed down dramatically, even as our understanding of fundamental disease biology and ability to capture data at the molecular/genomic level has increased exponentially. There has been an increasing call to action to move to novel partnerships and open source models of innovation, where multiple parties in both the private and public sectors collaborate, early stage discoveries benefit from shared knowledge and datasets, and innovations can incubate in a pre-competitive space. The idea of sharing risks and rewards to better the welfare of humankind is certainly inviting, but is it really possible to navigate across various stakeholder interests and collaborate effectively? And when the next “big idea” comes are the benefits shared? Come and hear the experiences of Eric Schadt, a renowned pioneer in driving new models of innovation, co-founder of Sage Bionetworks, Director of the Institute for Genomics and Multiscale Biology, and Chair of the Dept. of Genetics and Genomics Sciences at Mt. Sinai Medical School, followed by a provocative conversation between Dr. Schadt and Dr. Brian Athey, moderated by Connie Chang, Director of U-M Medical School Business Development. Eric Schadt, Ph.D., is Director of the Institute for Genomics and Multiscale Biology, Chair of the Department of Genetics and Genomics Sciences and the Jean C. and James W. Crystal Professor of Genomics at the Mt. Sinai Medical School. Dr. Schadt is an expert on the generation and integration of very large-scale sequence variation, molecular profiling and clinical data in disease populations for constructing molecular networks that define disease states and link molecular biology to physiology. His research has provided novel insights into what is needed to master diverse, large-scale data collected on normal and disease populations in order to elucidate the complexity of disease and make more informed decisions in the drug discovery arena. He has contributed to a number of discoveries relating to the genetic basis of common human diseases such as diabetes and obesity, which have been widely published in leading scientific journals. Dr. Schadt is also a founding member of Sage Bionetworks, an open-access genomics initiative designed to build and support databases and an accessible platform for creating innovative dynamic disease models. Prior to joining Pacific Biosciences in 2009, he was Executive Scientific Director of Genetics at Rosetta Inpharmatics, a subsidiary of Merck & Co., Inc. in Seattle, and before Rosetta, Dr. Schadt was a Senior Research Scientist at Roche Bioscience. He received his B.A. in applied mathematics and computer science from California Polytechnic State University, his M.A. in pure mathematics and his Ph.D. in bio-mathematics from University of California, Los Angeles. Brian D. Athey, Ph.D., is Professor and Chair of the new Department of Computational Medicine and Bioinformatics at the University of Michigan Medical School. Prioer to this appointment he served as overall Director of Academic Informatics and Information Technology of the School. He is also the Principal Investigator of the U-M NIH/NIGMS Bioinformatics Training Grant. Trained as a biophysicist, Dr. Athey is now recognized as one of the nation’s experts in the new field of ‘Translational Bioinformatics’ and also research cyberinfrastructure. He is chairman of a new venture in open-source technology called tranSMART, a spinout informatics analysis and data sharing platform from Johnson & Johnson. In the mid-1980s, Dr. Athey and his thesis mentor John Lagmore proposed the double helical crossed-linker model for the structure of chromatin, once quite controversial, it is now generally accepted. Brian established the first nationwide Internet2 Visible Human Project demonstration under contract with the National Library of Medicine (NLM), was Principal Investigator of the DARPA Virtual Soldier Project, and he currently leads the NIH National Center for Integrative Biomedical Informatics (NCIBI.org), one of eight NIH Roadmap Centers for Biomedical Computing. Dr. Athey is also Associate Director of Informatics and IT in the Michigan Institute for Clinical and Health Research, home of the U-M CTSA, and has served as national co-chair of the Clinical and Translational Sciences Award (CTSA) Informatics Key Function Committee (IKFC). Dr. Athey is a special advisor to the Chief Information Officer and Director of the Center for Information Technology (CIT) of the NIH. In 2000, Dr. Athey was named a Peace Fellow of the Federation of American Scientists (FAS.org) for his work in the 1990s to combat biological warfare and terrorism. He is a founder and chairman of the board of the Washington, DC, based Scientists and Engineers for America (SEA.org). Connie Chang is the Director of Business Development for the University of Michigan Medical School, a team she formed in 2010. In this role Connie leads efforts in business development between the medical school research enterprise and external partners. She joined the University of Michigan in 2009 after a 15-year career in business in Boston and New York, including 12 years of experience in the pharmaceuticals industry where she worked in the commercial and marketing business functions. Connie has a Bachelor of Arts degree in psychobiology from Harvard University and a Master in Business Administration from Harvard Business School.About Sage Bionetworks: The Sage Bionetworks Commons is an open source computational environment being developed to share mega-datasets and advanced tools in order to facilitate cooperative compilation, comparison and evaluation of network models of disease. A set of Principles was developed at the 2011 Commons Congress to communicate the vision and to guide the behavior of those working in the Commons.