I am a Machine Learning engineer working on self driving cars at Wayve.

Before joining Wayve, I worked as research scientist/engineer in the autonomous driving division of Woven by Toyota (former Woven Planet, previously Lyft Level 5), focusing on perception, prediction and planning.

Previously, I pursued my PhD at AImageLab, the Computer Vision and Artificial Intelligence laboratory of the University of Modena and Reggio Emilia (Italy).
I was enrolled in the Computer Engineering and Science track of the ICT Doctorate School of the Department of Engineering. The topic of my doctoral project was “Computer Vision and Artficial Intelligence for Automotive applications”.

As a PhD candidate, my work mostly focused on computer vision algorithms and systems that could improve the human-computer interaction in the automotive context, using reliable and light-invariant sensors such as depth (2.5D), infrared, and thermal cameras.

From 2018 to 2021, I was a member of the RedVision Lab, a joint laboratory with Ferrari S.p.A. aiming at applying computer vision techniques in the automotive field, in particular to improve the human-vehicle interaction, the driver monitoring, and the passenger experience.

From April to October 2021, I joined the Level 5 department of Lyft Level 5 / Woven Planet for a 6-month internship. I joined the London Research Team and worked on deep learning-based simulation for autonomous driving systems.

In my spare time, I enjoy contributing to OpenStreetMap and open source projects! Some of them are available on my github profile.