Bio
Deeksha Rastogi is a Research Scientist in the Computational Urban Sciences Group within the Computational Science and Engineering Division at Oak Ridge National Laboratory since 2019. Before her current role, she worked as a Research Associate in the Computational Earth Sciences Group at ORNL during 2013-2019. She has 15 years of experience working in the field of atmospheric sciences. Her research focuses on understanding weather extremes, and associated impacts on natural and human systems at varying spatiotemporal scales. She employs high-performance computing and earth system modeling tools and scientific data analysis to achieve these objectives.
Deeksha has been actively involved in numerous projects supported by the U.S. Department of Energy, making significant contributions to the development of several high-resolution, physics-based datasets. She has published 35 peer-reviewed articles, 8 datasets, 6 technical reports, and 1 encyclopedia book chapter. She serves as the principal investigator for a DOE-funded project that aims to classify storm types in high-resolution datasets, facilitating storm-type-based precipitation frequency analysis. She also leads an ORNL Laboratory Directed Research and Development (LDRD) project that leverages cutting-edge artificial intelligence tools to support impact evaluations and establish a benchmark for future efforts in assessing the effects of weather extremes using big data and high-performance computing applications.