Resume

PhD in Computer Science

Institution: University of Verona, Verona, Italy

Title: "Safe Deep Reinforcement Learning: Enhancing the Reliability of Intelligent Systems"

My PhD thesis was advised by Prof. Alessandro Farinelli and focused on developing novel Deep Reinforcement Learning (DRL) methods applied to robotics, with a particular emphasis on the generation of reliable systems in safety-critical contexts. My research interests center on two critical aspects that form a unified process for creating trustworthy intelligent agents. The first aspect is the adoption of constrained reinforcement learning techniques for safety-oriented training, and the second is the verification of neural networks for model validation.

M.Sc. in Computer Science and Engineering (110/110)

Institution: University of Verona, Verona, Italy

Title: "Experimental evaluation of Deep Reinforcement Learning Approaches: Application to a Redundant 7DOF Manipulator"

My first step into Deep Reinforcement Learning was taken during my master's thesis. The goal of the work was to develop a neural network controller for the Franka Emika manipulator, with an emphasis on safety aspects. Part of the thesis has been published at IRC, 2020.

Applied Scientist - Machine Learning Engineer

Institution: Zoox (Amazon), Foster City, California, USA

Applied Scientist and ML Engineer at Zoox, working on machine learning for autonomous vehicles.

Postdoctoral Research Associate

Institution: University of California: Irvine, Irvine, California, USA

Postdoctoral researcher in the Intelligent Dynamics Lab under the supervision of Prof. Roy Fox, working on safe deep reinforcement learning for robotics, foundation models for robotic control, and sim-to-real transfer.

Visiting Researcher

Institution: The Hebrew University of Jerusalem, Israel

Research visit at the Katz Lab under the supervision of Professor Guy Katz, PhD.

Research Fellow

Institution: University of Verona, Verona, Italy

I worked on the European project INTACTCH2020 "Development of Innovative Techniques for Navigation and Perception on Robotic Platforms for Water Quality Monitoring" as part of the European program Horizon2020.