Francesco Leofante is an Assistant Professor and Explainable AI researcher with a decade of experience focusing on counterfactual explanations and the transparency of AI in high-stakes decision-making. Based at Imperial College London following a PhD from RWTH Aachen, he has progressed through research roles into faculty leadership while also consulting on applied AI through Imperial Consultants. His work bridges rigorous academic methods and practical deployment, aiming to make consequential automated decisions auditable and human-interpretable. Trained originally in robotics and electronics, he brings a systems-level view to XAI that blends control, perception and ethical considerations—an approach that informs both his research and industry engagements.
10 years of coding experience
3 years of employment as a software developer
Laurea Magistrale, Robotics Engineering, Laurea Magistrale, Robotics Engineering at Università degli Studi di Genova
PhD, Computer Science, PhD, Computer Science at RWTH Aachen University
Master of Science (MSc), Advanced Robotics, Master of Science (MSc), Advanced Robotics at Ecole centrale de Nantes
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Francesco Leofante - Assistant Professor at Imperial College London