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Miguel Bessa is an Associate Professor at Brown University specializing in computational mechanics and materials science. With a background in developing numerical methods for the analysis of materials, he focuses on multi-scale modeling of materials and structures. His research emphasizes the integration of machine learning within engineering to optimize material properties and discover new functionalities. Bessa's work in machine learning guides the discovery of materials with exceptional properties, such as super-compressibility. He actively disseminates research findings through popular science outlets and has contributed to the development of data-driven coding tools for the research community.
Department: Department of Economics