Home

Today, I am Sr. Engineering Manager at Woven by Toyota in Ann Arbor, Michigan, USA. In the Behavior area, I lead and manage the ML prediction team as part of the Toyota effort of bringing automated driving into people's hand, and in pursue of the creation of a zero accident car. There, I am resposible to manage the team and its processes, negotiate with stake holders, create quarter & year roadmaps, and present periodically progress, results and accomplishments against the company goals. On top of this I own the Behavior department’s data roadmap. In this case, I am responsible to define and drive the entire data strategy toward year+ out production deadlines, that both ML prediction and ML planner should rely on.

My research interests lie in the areas of mobile robotics and machine learning. My previous and current works focus on providing effective solutions to mobile robot navigation, with particular emphasis in 3D perception, Simultaneous Localization and Mapping (SLAM), multi object / multi modal object tracking, trajectory prediction and data sampling.

Before this, I received my Ph.D in Engineering in Computer Science in 2017 at the Department of Computer, Control, and Management Engineering “Antonio Ruberti” (DIAG) at Sapienza University of Rome. After that, always in 2017, I joined the Toyota Research Institute (TRI) where for 5 years I worked, and eventually led, the perception effort on developing the probabilistic multi object / multi modal object tracker used in the cars for automated driving. In 2022, the transition to Woven by Toyota gave me the opportunity to continue leading on the tracking side, and expand on prediction too, while shifting from a more research mindset towards productization. We moved toward data driven approaches, and used more and more deep learning models to achieve our objectives. In 2025, I left the lead of the ML tracking team and focused solely on the ML prediction team.