Curriculum vitae - February 2026
Download PDFI am a physicist with 6+ years of experience in machine learning research and development. Currently finishing my PhD in physics, I am working on quantum computing, machine learning and their intersection.
PhD in Physics, Sapienza University of Rome, Italy
Topics: physics-inspired algorithms, quantum computing, machine learning and quantum machine learning
Group: Fisica AI&QC group
Supervisors: Stefano Giagu, Fabio Sciarrino
M.Sc. in Physics, Sapienza University of Rome, Italy
Thesis: “Deep learning for the parameter estimation of tight-binding Hamiltonians”
Supervisors: Stefano Giagu, Stefan Bauer
Grade: 109/110
B.Sc. in Physics, Sapienza University of Rome, Italy
Thesis: “Hidden Markov model”
Supervisor: Luciano Pietronero
Grade: 110/110 with honors
Researcher, Istituto Superiore di Sanità, Italy
Dept. of Food Safety, Nutrition and Veterinary Public Health
Machine Learning Consulting, Italy & Switzerland
ML consulting applied to diverse industry problems.
Research Associate, Technical University of Munich, Germany
Topics: classical-quantum compound channels and algorithms for the automatic generation of quantum graph states
Research Internship, Max Planck Institute for Intelligent Systems, Tübingen, Germany
Topics: Deep learning for estimating tight-binding Hamiltonians, quantum machine learning models and their connection with kernel methods
"Python for scientific programming", Istituto Superiore di Sanità, Italy
Task: lectures and lab tutoring
"Foundations of Programming with Laboratory", Sapienza University of Rome, Italy
Task: lectures and lab tutoring
Mathematics, physics and computer science, Individual clients, Italy
Task: individual tutoring for university students
"Quantum networking", Technical University of Munich, Germany
Task: tutoring
Research grant, Sapienza University of Rome, Italy
"Development of quantum machine learning algorithms" - 1000 €
Excellence program for honor students, Sapienza University of Rome, Italy
Quantum Computing @ INFN, Milan, Italy, Talk
"Quantum enhanced fraud detection: a comparative study on real-world banking data"
Quantum Computing @ INFN, Padova, Italy, Talk
"Quantum diffusion models for quantum data learning"
QAIXIAQ2023 Workshop, Rome, Italy, Talk
"Quantum diffusion models using parameterized quantum circuits for data denoising"
ISIT, 2021 IEEE International Symposium on Information Theory, Talk
"Compound channel capacities under energy constraints and application"
