PhD Student — Learning and Control

IMT School for Advanced Studies Lucca (DYSCO Research Unit)

• Research on differentiable optimization and control, combining machine learning with numerical optimization.
• Developed an amortized Nonlinear MPC approach, learning a small state-dependent QP to replace the online NLP solve for real-time deployment.

Modelling and Simulation Engineer

Skydweller Aero

• Built MATLAB/Simulink models of instrumentation and system dynamics.
• Integrated generated code into a Concurrent SimWB Hardware-in-the-Loop (HIL) system.
• Defined interfaces with software teams and authored system documentation.

Research Engineer

Garrett Advancing Motion

• Implemented a predictive power-split algorithm in MATLAB/Simulink to reduce hybrid fuel consumption.
• Applied numerical optimization to improve control performance and efficiency.
• Built a Python-based ML range estimator for battery electric vehicles.
• Collaborated with cross-functional teams to integrate solutions into vehicle systems.

MSc in Automation and Control Engineering

Politecnico di Milano

110/110 with Honors

• Courses: Advanced and Multivariable Control, Constrained Numerical Optimization for Estimation and Control, Automation and Control in Vehicles.

BSc in Cybernetics Engineering

Università degli Studi di Palermo

110/110 with Honors