Bruno Abreu Calfa is a Principal Engineer at RTX Technology Research Center, specializing in numerical optimization and machine learning. They possess a Ph.D. in Chemical Engineering from Carnegie Mellon University, where their research focused on Enterprise-Wide Optimization, particularly in production scheduling and planning of chemical plants. Prior to their current role, Bruno served as a postdoctoral fellow at the University of Wisconsin-Madison, contributing to both chemical engineering education and Process Systems Engineering research. Their extensive experience includes project management and the development of advanced machine learning frameworks for various applications, including supply chain management and robotic inspection.
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