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Sili Deng is an Associate Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, where she leads research in scientific machine learning and its application to complex energy systems. Her work specializes in the development of digital twins for engineering applications, modeling reacting flows, and conducting uncertainty quantification within various engineering frameworks. Through her research, she aims to advance the understanding of energy systems and enhance their efficiency and reliability. Dr. Deng has published numerous articles and papers in renowned journals and conferences, reflecting her expertise in combining computational methods with practical engineering challenges. Her teaching focuses on integrating theoretical knowledge with hands-on experience, preparing the next generation of engineers in a rapidly evolving technological landscape.