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Ravindra Shinde is a theoretical and computational physicist and chemist currently working as a research scientist at the University of Twente in the Netherlands. His research focuses on achieving high computational performance for accurate chemical simulations. With 10 years of research experience and expertise in scientific code development, Shinde has contributed to the development of new methodologies and implemented them in leading open-source codes. He has published numerous research articles, authored a book, and peer-reviewed manuscripts. Shinde combines atomistic modeling at the electronic and atomic levels to solve problems in materials science and chemistry. In his free time, he enjoys trekking, cycling, painting, sketching, and gardening. During his career, Shinde has investigated various topics such as the degradation of hazardous pollutants, ultrafast electron dynamics in materials, and the discovery of topologically exotic materials. He has also worked on machine learning for quantum chemical methods and developed code for TDDFT simulations. Shinde's research has been featured on the front page of journals, and he stays up to date with recent technological developments and news through newsletters.
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