John Sinard, M.D., Ph.D., Professor, Director of Pathology Informatics
John Sinard is a board-certified anatomic pathologist. He received his bachelor's degree from Harvard University, and his M.D. and Ph.D. degrees from Johns Hopkins. His residency training was at Yale-New Haven Hospital. He currently directs the autopsy service, is active on the surgical pathology service, has a specialty interest in ophthalmic pathology, and is the director of the Pathology Informatics Program. He has been developing software for 30 years. His academic interests are centered on translational informatics: delivering modern data management tools to practicing physicians and researchers.
David Tuck, M.D., Assistant Professor
David Tuck is a hematologist/medical oncologist who received his bachelor's degree from Harvard University, and his M.D. degree from the University of Vermont Medical School. He has clinical experience in bone marrow transplantation and clinical oncology and worked for a number of years in clinical research in the pharmaceutical industry. He subsequently completed a fellowship in biomedical informatics at the Yale Center for Medical Informatics, after which he joined the Pathology Informatics program. His research activities involve bioinformatics and computational biology aspects of the study of hematopoietic stem cells and carcinogenesis, including integrating various data sources related to transcriptional regulation of hematopoiesis and hematopoietic differentiation and gene expression profiling in cancer.
Michael Krauthammer, M.D., Ph.D., Assistant Professor
Michael Krauthammer received his M.D. degree at the University of Zurich, Switzerland. After board certification (general practitioner), he obtained a Ph.D. in biomedical informatics at Columbia University where he developed natural language processing algorithms to search the biomedical literature for term associations. He joined the Yale Pathology Informatics program in July, 2004. Dr. Krauthammer's main research interests are the design of large scale text mining systems in molecular biology and medicine, as well as computational approaches for pinpointing candidate genes in genetic diseases. More recently, Dr. Krauthammer has been involved in translational informatics research, such as building prognostic protein expression models in cancer patients.
Steven H. Kleinstein, Ph.D., M.A.S., Assistant Professor
Steven Kleinstein received his Ph.D. and M.A.S. degrees in Computer Science from Princeton University, and his B.A.S. degree in Computer Science from the University of Pennsylvania. He will join the Department of Pathology at Yale University School of Medicine on July 1, 2006. He is currently a researcher in the Department of Computer Science at Princeton University where he also runs an interdisciplinary graduate-training program in computational science. His general research interest is the development of computational methods that leverage mathematical models and numerical simulations in order to improve understanding of experimental and clinical data. The immune response has been a particular focus of his work. Major ongoing projects include using sequence data from microdissection experiments to understand the process of B cell affinity maturation, model-based analysis of time-series labeling data from flow cytometry experiments to elucidate the basis for positive selection of B-lymphocytes during the adaptive immune response, and the development of mathematical models of the interferon response in human dendritic cells and how this is subverted by viral pathogens.
Peter Gershkovich, M.D., M.H.A., Associate Research Scientist
Peter Gershkovich received his M.D. from Altay State Medical University, Russia, and his Masters in Health Administration from Suffolk University, Boston. Before joining Informatics Group at the Department of Pathology he finished fellowship training in Medical Informatics at Yale and worked for some time in commercial software development. He is currently managing the Pathology ITS group and designing systems that support clinical activities of the department. His major research interests are in practical implementation of clinical systems and data visualization. He is currently investigating methods of interactive presentation of multidimensional data for visual analysis.