Science Fellow 2011
Assistant Professor, Department of Biomedical Informatics, Center for Computational Biology and Bioinformatics, Columbia University College of Physicians and Surgeons
Raul Rabadan is creating tools to extract scientifically and clinically useful information from large sets of data. His team brings together domains including physics, astrophysics, mathematics and computer science to learn how viruses such as H1N1 co-evolve with the people they infect, and what mutations drive cancers. Raul’s research has been published in the New England Journal of Medicine, Nature, Nature Genetics and PLoS Pathogens, and been supported by the National Institutes of Health and the National Library of Medicine. His computational approach to understanding disease evolution has the potential to significantly improve strategies in medical treatment and public health.