Curriculum vitae

Academic CV and summary.

Postdoctoral researcher at EPFL working on learning-based control with provable guarantees, with a focus on model predictive control, safe learning, distributed control, and reliable autonomy.

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Current position

  • 2023 – present Postdoctoral Researcher, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Education

  • 2019 – 2023 Ph.D. with honour, Information Technology, Politecnico di Milano.Thesis: Model Predictive Control for Constrained Navigation of Autonomous Vehicles.
  • 2016 – 2019 M.Sc. in Automation and Control Engineering, Politecnico di Milano.
  • 2010 – 2014 B.Sc. in Mechanical Engineering, Politecnico di Milano.

Experience

  • 2023 – present Postdoctoral Researcher, EPFL.
  • 2020 – 2022 Teaching Assistant, Politecnico di Milano, for the course Fondamenti di Automatica.
  • 2019 Adjunct Professor, Fondazione Istituto Tecnico Superiore per le Nuove Tecnologie della Vita. Lecturer for a Finite Element Analysis course.
  • 2014 – 2016 R&D Mechanical Engineer, Renova s.r.l. Mechanical design, prototyping, research and development of custom solutions for web tension control systems.

Teaching and academic service

  • Lecturer and organizer of the Distributed MPC course at ETH Zurich, 2024.
  • Lecturer and organizer of the Neural Networks for Optimal Control course for the International Graduate School on Control, EPFL, 2025.
  • Speaker and organizer of the ECC workshop Distributed MPC for Multi-Agent Systems.
  • Speaker and organizer of the ECC workshop Neural Network Control with Stability and Performance Guarantees.
  • Reviewer for more than 50 submissions to international control journals and conferences, including CDC, ECC, ACC, L-CSS, IEEE TAC, IEEE TCST, and Automatica.

Awards and recognitions

  • PoliMi Springer Briefs Annual Award for the best Ph.D. theses at Politecnico di Milano.
  • IEEE Intelligent Transportation Systems Society Italy Section Best Dissertation Award 2024, finalist.