Education

Bocconi University
PhD in Computer Science
2026 – Today

Università degli Studi di Padova
MSc in Physics of Data
2022 – 2024
Grade: 110/110 with honours
Thesis: Leveraging generative models for the optimization of 3D implicit representations

• Research thesis based on the work done during my internship at SONY

Università degli Studi di Padova
BSc in Physics
2019 – 2022
Grade: 110/110 with honours
Thesis: General statistical laws in many-component systems

Work experience

Fondazione Bruno Kessler
Technologist
Trento, Italy, 2025 – 2026
Worked on developing ML solutions for industrial clients

SONY Stuttgart Laboratory 1
Research intern
Stuttgart, Germany, Mar 2024 - Sep 2024
Developed a sparse-view 3D reconstruction pipeline by leveraging multi-view diffusion models

Skills

• Experienced in Python, extensive use of PyTorch to design and train deep neural networks
• Working experience with bash, slurm, git, docker, uv, conda

Publications

Constrained hidden Markov models reveal further Hsp90 protein states Permalink

Tancredi et al. (2024) "Constrained hidden Markov models reveal further Hsp90 protein states" New Journal of Physics, Vol 26