Faculty
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.