Rishabh Guha, Ph.D., is a Machine Learning Engineer and Scientific Contributor at Schrödinger Inc. With a solid foundation in mechanical engineering, Rishabh completed graduate research focused on computational materials science, leading to significant contributions in understanding moisture's impact on polymer composites. They have enhanced their expertise through postdoctoral research at Berkeley and have incorporated high-throughput computation and machine learning into their current work in battery development. Rishabh has a diverse background that includes teaching and research roles at notable institutions, as well as internships in industry settings. Outside of their professional pursuits, Rishabh enjoys exploring the outdoors and is an amateur movie buff.
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