The underlying hypothesis in Dr. Sarkar’s research is that the integration of unlinked data leads to new information that can be used to inform knowledge about underpinning phenomena in biology and health. His current research includes harnessing data for supporting comparative genomic and phenomic studies of complex disease, including the development of models to predict trajectories of complex conditions, such as pregnancy and its complications. Dr. Sarkar’s work has been funded by sources such as the National Science Foundation, the Ellison Medical Foundation, the Medical Library Association, the Centers for Disease Control and Prevention, the US Department of Veterans Affairs, and the National Institutes of Health. Dr. Sarkar is an elected Fellow of the American College of Medical Informatics, and is a member of the Board of Directors and Treasurer of the American Medical Informatics Association.