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Ramy Rashad, PhD, PEng, is a Staff Software Engineer specializing in machine learning and optimization at Pratt & Whitney Canada, where they lead the development of ML-driven multidisciplinary design analysis frameworks for advanced propulsion systems. They earned a PhD in Aerospace Science and Engineering from the University of Toronto, focusing on drag reduction and aerodynamic shape optimization. With extensive experience in various programming languages and machine learning tools, Ramy has contributed to multiple aerospace projects, including collaborations on physics-informed neural networks and reduced-order models. Additionally, they have held roles in academia as a teaching assistant and at organizations such as the Ministry of Transportation, Brican Flight Systems, and Solar Ship Inc.