He directs the technical operations, focusing on the application of advanced machine learning and optimization algorithms to address complex challenges in materials science. With a doctoral degree from the University of Toronto, where he specialized in Machine Learning methodologies for computational material science, Gurjot expertly leads the development of AI-driven workflows tailored for alloy development. He plays a crucial role in advancing PhaseShift’s proprietary technical platform, enhancing the efficiency of alloy design processes. Prior to his current role, Gurjot managed multimillion-dollar projects in the oil sands industry and holds a Master’s degree in Management Science from the University of Waterloo.