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Research conducted in the Dhananjay Vaidya Lab focuses on the prevention of heart disease, with special emphasis on cardiometabolic risk factors, genetics in high-risk families, cardiovascular epidemiology, statistics and vascular biology. We also provide consultation on study design as well as plan and oversee data analyses for projects supported by the Center for Child and Community Health Research.
Researchers in the Henry Michtalik Lab are interested in patient safety—particularly as it relates to patient census statistics and acute to primary care transitions—and quality improvement and systems management.
Research in the Sensorimotor Adaptation--Vestibular and Oculomotor group focuses on sensorimotor adaptation to space flight and fractal statistics in physiology. Our projects aim to understand sensory processing for motor control with an emphasis on adaptive capabilities and mathematical modeling.
The Suchi Saria Lab, part of the Institute for Computational Medicine, explores topics within the fields of machine learning and computational statistics, with a focus on computational solutions for problems in health informatics. Our team investigates the applications of machine learning and computational statistics to domains where one has to draw inferences from observing a complex, real-world system evolve over time. We use Bayesian and probabilistic graphical modeling approaches to address the challenges that emerge with modeling and prediction in real-world temporal systems.
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