• Oct. 2023 - Present  NEWTWEN (Padova, IT)

Lead AI Research Engineer: I'm leading the AI division of NEWTWEN to apply AI to solve physical/engineering problems, performing research and developing models to be included in the company's core technology.

• Jun. 2023 - Aug. 2023  Nokia Bell Labs (Cambridge, UK)

Research Intern: Performing research on distributed and resource-constrained learning within the Device Intelligence Lab, under the supervision of Prof. Fahim Kawsar. Recognized as top 3 Bell Labs interns worldwide.

• May 2023 - Present  Lead The Future

Mentor at Lead The Future: LeadTheFuture is a mentorship nonprofit in Science and Engineering where top talent comes to accelerate their ideas and careers, surrounded by a world-class community of mentors and mentees rooting for you and your success.

• Feb. 2022 - Aug. 2022  Imperial College London (London, UK)

Visiting Researcher: Joined the Information Processing & Communications Lab, within the Intelligent Systems and Networks group, uder the supervision of Prof. Deniz Gunduz, where I do research on Reinforcement/Federated Learning and Information Theory.

• Oct. 2020 - Sept. 2023   University of Padova  

PhD Student: Conducting research on machine learning and wireless communications with the SIGNET research group. I'm also involved in different projects on Intelligent Internet of Things and Deep Reinforcement Learning for information dissemination in vehicular's  networks (with Toyota North America).

• Jul. 2020 - Oct. 2020  InstaDeep Ltd

Research Intern: At InstaDeep, London (UK), I conducted research on Deep Reinforcement Learning, in particular on Maximum Entropy RL and on the Control as Inference framework. 

•  January 2020 - June 2020   University of Padova

    Postgraduate Researcher: Conducting research on machine learning and wireless communications with the SIGNET research           group. I'm also involved in different projects on Intelligent Internet of Things and Deep Reinforcement Learning for information              dissemination in vehicular's networks (with Toyota North America).

• February 2019 - July 2019   Learn To Forecast - L2F (Lausanne, CH)

Master Thesis Project: I developed my master thesis in collaboration with Learn to Forecast, a machine learning startup located at the EPFL Innovation Park, Lausanne (Switzerland). By exlpoiting diffusion processes on graphs and simplicial complexes, I developed a novel method to embed nodes, edges and higher order cliques into low-dimensional spaces. 

• September 2018 - July 2019  École polytechnique fédérale de Lausanne (EPFL) 

SEMP Scholarship Student: Exchange program (1 year) at the Ecole Polytechnique Fédérale de Lausanne - EPFL, Lausanne (Switzerland), where I completed master courses on Machine Learning, Information Theory, Graph and Distributed algorithms. 

• Sept. 2017 - Sept. 2019  University of Padova

     MSc. in Telecommunications Engineering: Brand new master degree in ICT Engineering where I studied Wireless

      Communications and Networks, Machine Learning and Data Analysis, Stochastic Processes and Network Science. Graduated Summa        cum Laude.

• Sept. 2014 - Sept. 2017   University of Padova

     BSc. in Information Engineering: Completed theoretical courses on Mathematical Analysis, Linear Algebra, Physics,

      Probability and fundamentals of Computer Science, Electronics and Control Theory. For my bachelor thesis I studied stochastic                  models for DNA sequences analysis. Final mark 110/110.