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Rodrigo Freitas is an Assistant Professor at the Massachusetts Institute of Technology, specializing in materials science engineering. He focuses on the intersection of physics and machine learning, particularly in the development and application of physics-informed machine learning techniques. His research also includes computational materials science, where he employs cross-scale atomistic simulations to investigate materials properties and microstructural evolution. Freitas uses data-centric approaches to identify mesoscale patterns in materials, contributing to a deeper understanding of materials kinetics and structural materials. His work aims to bridge the gap between theoretical models and practical applications in the field of materials science.