Raul Rabadan Associate Professor in the Departments of Systems Biology and Biomedical Informatics, Columbia University College of Physicians and Surgeons Raul Rabadan, Ph.D., is an Associate Professor in the Departments of Systems Biology and Biomedical Informatics, at the Columbia University College of Physicians and Surgeons. Previously, Dr. Rabadan has been the Martin A. and Helen Chooljian Member at The Simons Center for Systems Biology at the Institute for Advanced Study in Princeton, New Jersey. He obtained his Ph.D. in Theoretical Physics at the Universidad Autonoma de Madrid, Spain. From 2001 to 2003 he was a fellow at the Theoretical Physics Division at CERN, the European Organization for Nuclear Research, in Geneva, Switzerland. In 2003 he joined the Theoretical Physics Group at the Institute for Advanced Study and in 2006 the Systems Biology Group in the School of Natural Sciences at the Institute for Advanced Study, Princeton.Dr. Rabadan’s current interest focuses on patterns of evolution in biological systems, in particular, RNA viruses and cancer, Next Generation Sequencing Technologies, pathogen discovery and emerging viruses, and data mining Electronic Health Records. Participant In: Complexity and Emergence Saturday, November 15, 2014 2:30-4:30 pm Past Event Watch the video » Psychobiologist Roger Sperry proposed that, “mind and consciousness are dynamic emergent properties of the living brain in action.” This seemingly simple observation raises a host of questions. How do novel entities arise from self-organizing complex systems? If a system itself shows adaptive, self-organizing properties not attributable to its aggregate micro-potentialities—such that at each new level… read more »
Complexity and Emergence Saturday, November 15, 2014 2:30-4:30 pm Past Event Watch the video » Psychobiologist Roger Sperry proposed that, “mind and consciousness are dynamic emergent properties of the living brain in action.” This seemingly simple observation raises a host of questions. How do novel entities arise from self-organizing complex systems? If a system itself shows adaptive, self-organizing properties not attributable to its aggregate micro-potentialities—such that at each new level… read more »