Dr. Michael Schmidt



Assistant Professor of Clinical Neuropsychology in Neurology
Director of Clinical Neuromonitoring and Informatics, Neuro-ICU
Columbia University College of Physicians and Surgeons

Dr. Michael Schmidt is an Assistant Professor of Clinical Neuropsychology in Neurology at Columbia University College of Physicians and Surgeons and and the Director of Clinical Neuromonitoring and Informatics in the Neuro-ICU of the Columbia Medical Center. Dr. Schmidt received his undergraduate degree in psychology from Michigan State University and his doctorate in Neuropsychology from the City University of New York. He completed a post-doctoral research fellowship in the Division of Critical Care Neurology at Columbia University that lead to a faculty position in 2005 when he began to direct the Neuromonitoring and Clinical Informatics program in the Neurological Intensive Care Unit (NICU). In 2009 Dr. Schmidt received a 3-year CTSA KL2 career development award from the Columbia University Irving Institute for clinical and translational research, completing a Master's degree in Biostatistics from the Columbia University School of Public Health in 2011.

Dr. Schmidt's interests concentrate on developing personalized medicine applications in the NICU that enable clinicians to make faster more accurate treatment decisions for their patients resulting in reductions in NICU length of stay and improvement in overall patient outcome after acute brain injury. His research objectives are to: 1) characterize phenotypes associated with pathophysiologic conditions after acute brain injury, 2) devise methods to monitor these processes , and 3) translate these findings into sophisticated new diagnostic, prognostic, and real-time bedside clinical decision support tools that improve clinical decision making resulting in reduced patient length of stay and improved patient outcomes. He has published numerous research articles on many neurological related topics, including the generation of patient-specific physiological targets utilizing invasive brain monitoring, and the analysis of physiological data for the preclinical detection of secondary complications after subarachnoid hemorrhage. His research is currently supported through a research grant from the Dana Foundation and a pilot from the Department of Defense to develop new ways to visualization medical data at the bedside.

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