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Bio
Biography
Robert A. McDougal, Ph.D. is an Assistant Professor in the Health Informatics Division of the Department of Biostatistics. He is affiliated with the Computational Biology and Bioinformatics graduate program, the Yale Center for Medical Informatics, and the Center for Biomedical Data Science. His research focuses on developing methods for aggregating, computationally representing, analyzing, and modeling experimental data, with emphasis on understanding brain function and dysfunction.
Dr. McDougal is currently a PI on two NIH grants: one which develops techniques to mine, visualize, and disseminate neuroscience information, and one that seeks to build efficient methods for simulating the interaction of intracellular and network dynamics in the brain. Recent collaborations include a project to detect trends in the use of animal models and interventions in the Alzheimer's literature, and a project to use computational modeling to interpret magnetoencephalography (MEG) data. As an elected member of the NeuroML Editorial Board, he helps design future standards for sharing computational neuroscience models.
Dr. McDougal earned his Ph.D. in Mathematics from The Ohio State University in 2011. He did postdoctoral training at Yale in computer science, neurobiology, and medical informatics; during the later, he earned an MS in Computational Biology and Bioinformatics from Yale. From 2016 until joining the Department of Biostatistics in 2019, he was an Associate Research Scientist at Yale University in the Department of Neuroscience.
Robert A. McDougal, Ph.D. is an Assistant Professor in the Health Informatics Division of the Department of Biostatistics. He is affiliated with the Computational Biology and Bioinformatics graduate program, the Yale Center for Medical Informatics, and the Center for Biomedical Data Science. His research focuses on developing methods for aggregating, computationally representing, analyzing, and modeling experimental data, with emphasis on understanding brain function and dysfunction.
Dr. McDougal is currently a PI on two NIH grants: one which develops techniques to mine, visualize, and disseminate neuroscience information, and one that seeks to build efficient methods for simulating the interaction of intracellular and network dynamics in the brain. Recent collaborations include a project to detect trends in the use of animal models and interventions in the Alzheimer's literature, and a project to use computational modeling to interpret magnetoencephalography (MEG) data. As an elected member of the NeuroML Editorial Board, he helps design future standards for sharing computational neuroscience models.
Dr. McDougal earned his Ph.D. in Mathematics from The Ohio State University in 2011. He did postdoctoral training at Yale in computer science, neurobiology, and medical informatics; during the later, he earned an MS in Computational Biology and Bioinformatics from Yale. From 2016 until joining the Department of Biostatistics in 2019, he was an Associate Research Scientist at Yale University in the Department of Neuroscience.
Research Interests
Papers共 56 篇Author StatisticsCo-AuthorSimilar Experts
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Neurology. Clinical practiceno. 3 (2024): e200293-e200293
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATIONno. 7 (2024): 1463-1470
Research square (2023)
Journal of the American Medical Informatics Association (2023)
Omar Awile,Pramod Kumbhar, Nicolas Cornu,Salvador Dura-Bernal,James Gonzalo King,Olli Lupton,Ioannis Magkanaris,Robert A. McDougal,Adam J.H. Newton,Fernando Pereira, Alexandru Săvulescu,Nicholas T. Carnevale,
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