• Prof. Mark A. Musen is Professor of Medicine and Computer Science, and head of the Stanford Center for Biomedical Informatics Research. Dr. Musen has been investigating issues related to intelligent systems in biomedicine since the 1980s. His work was recognized by the American Association for Medical Systems and Informatics, which presented Dr. Musen with its Young Investigator Award for Research in Medical Knowledge Systems in 1989. Dr. Musen received an NSF Young Investigator Award in 1992 for his more fundamental research in computer science. Dr. Musen has been elected to the American College of Medical Informatics and to the American Society for Clinical Investigation. He is co-editor-in-chief of the new journal Applied Ontology.
  • Prof. David L. Buckeridge is an Assistant Professor of Epidemiology and Biostatistics at McGill University. Dr. Buckeridge developed a simulation model for evaluating outbreak detection in his doctoral dissertation at Stanford before moving to McGill University where he holds a Canada Research Chair in Public Health Informatics. Dr. Buckeridge is a Board Member of the International Society for Disease Surveillance and is the editor of a recently published book on the informatics of disease surveillance. He currently holds funding from the CDC, the Canadian Institutes of Health Research, and other agencies to evaluate automated surveillance systems.
  • Dr. Masoumeh Izadi is currently a postdoctoral researcher in Health Informatics Research Group at McGill University. She received her Ph.D. in artificial intelligence from the School of Computer Science at McGill University, her M.Sc. in Advanced Computing from King's College University of London, and her B.Sc. in Applied Mathematics from University of Tehran. Her research interests are in theoretical and applied artificial intelligence and machine learning, as well as computational methods in epidemiology, health and medical informatics.
  • Csongor Nyulas received his degree in Computer Science from the Technical University of Cluj-Napoca, Romania. Before joining Stanford Center for Biomedical Informatics Research, he worked for several years at DaimlerChrysler Research in Berlin, Germany where he worked on the development of several ontology-driven tools. Since coming to Stanford, he has implemented the primary components of the BioSTORM system using the JADE agent environment.
  • Martin O’Connor received his B.A. and M.Sc. degrees in Computer Science from the University of Dublin, Ireland. Before joining Stanford Center for Biomedical Informatics Research, he worked for several years at IBM’s T.J. Watson Research Center in Yorktown Heights, N.Y. Since coming to Stanford, he has developed the Chronus II temporal query system, which was used to perform temporal queries on biomedical data. His current research centers on the development of technologies to support querying, data integration, and analytic method deployment on the Semantic Web.
  • Dr. Anna Okhmatovskaia is a Research Associate at the Department of Epidemiology and Biostatistics of McGill University. She has received B.Sc. and Ph.D. degrees in Psychology from Moscow University, and M.Sc. in Computer science from the University of Southern California. She joined Health Informatics Research Group at McGill University after working at the USC Institute for Creative Technologies, where she focused on computational modeling of emotion. Her research interests lie in applied artificial intelligence, particularly knowledge modeling.
  • Samson Tu, a Senior Research Scientist, has worked at the Stanford Center for Biomedical Informatics Research for almost 20 years on the development of domain models and reasoning components for general knowledge-based architectures. He is recognized internationally for his seminal contributions related to automation of medical therapy planning and to the modeling of protocols and guidelines. With colleagues from major academic institutions and from industry, both in the United States and abroad, he has successively developed a number of guideline models. Mr. Tu has been elected to the American College of Medical Informatics.
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