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Monika's research interests include the application of computational methods to understand the biological processes, especially those that have their keys residing in conformational dynamics. Her work is at the interface of Chemistry (understanding interactions), Physics (defining rules), Mathematics (integrators, statistical analyses), and Computer Science (extracting, analyzing and making sense of data). Monika has keen interests in the integration of deep learning with the exploration of conformational dynamics to identify the characteristics that may point to underlying disrupted biological mechanisms and may be amenable to treatment with a resultant increase in survival and thus facilitate clinical decision making. Her vision for the future is to be able to create a world-class premier research environment where she can translate basic research into biomedical research that will impact society as well as the healthcare industry.