Lorenzo Bertoni is a Senior Applied Scientist at Wayve since March 2022, focusing on World Models for AI Video Generators related to Autonomous Driving. Previously, Lorenzo served as an Applied Scientist, working on world models, large language models, and behavioral cloning, and as a Product Manager, where the emphasis was on enhancing metadata strategies for driving evaluation. Lorenzo's earlier experience includes a role as a Research Intern at Wayve, teaching assistant positions at EPFL and Politecnico di Torino, and consulting at Oliver Wyman, where project management and risk assessment for a significant Italian bank were key responsibilities. Lorenzo's research background includes a visiting researcher role at UC Berkeley, where contributions included the development of an Adaptive Cruise Control for self-driving vehicles, culminating in a first-author publication. Academic credentials include a PhD in Electrical Engineering with a focus on Machine Learning from EPFL, and Master's degrees from both UC Berkeley and the University of Illinois Chicago.
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