About me

Hi! I am a Ph.D. student at the Graph Machine Learning Group, within the Swiss AI lab IDSIA and USI - Università della Svizzera italiana (Switzerland), under the supervision of Prof. Cesare Alippi.

What i'm doing

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    Time series Forecasting

    The area of my research focused on improving the prediction of time series over time.

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    Irregular Data

    I aim to make predictions with the presence of spatial or temporal irregularities.

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    Graph Neural Networks

    I employ the use of spatio-temporal neural networks.

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    Ethical values

    I conduct my research to achieve generalizable findings that lead to clear and meaningful progress in the field.

Resume

Education

  1. MSc in High Performance Computing Engineering – Politecnico di Milano

    2023 — 2024

    Scholarship recipient under the EU Master4HPC program. Relevant courses include Advanced Methods for Scientific Computing and Applied Data Science. Technologies: OpenMP, MPI, C++, CUDA, Python, Java, R, Jenkins, Docker.

  2. MSc in Computational Science – Università della Svizzera Italiana

    2023 — 2024

    Participated in CSC Summer University on Effective HPC & Data Analytics. Courses included Deep Learning Lab and Advanced Machine Learning. Tools: Python, PyTorch, Reinforcement Learning, NLP, Transformers.

  3. High Performance Computing Summer School – Université Grenoble Alpes

    Summer 2023

    Attended workshops on state-of-the-art HPC technologies including CUDA, RISC-V, and Distributed Computing.

  4. BSc in Computer Science Engineering – Politecnico di Milano

    2019 — 2022

    Graduated with 110L/110. Awarded "Best Freshman" for academic excellence in the first year. Studied C, Java, Python, x64 Assembly, and MIPS.

Experience

  1. HPC Ambassador – EuroHPC Summit

    2024

    Represented the EU Master4HPC program at the EuroHPC Summit in Gothenburg, Sweden. Contributed to global workshops and collaborative HPC projects.

  2. NVIDIA Certified CUDA Developer

    2023

    Earned the NVIDIA certificate for Fundamentals of Accelerated Computing with CUDA C/C++. Certificate ID: 48554d0df50b4fe7913cca884e27fce6.

Projects

  1. Truncated Backpropagation Through Time with ReRNN

    2024

    Long-term time series forecasting using RNNs and truncated backpropagation. Utilized Echo State Networks for state initialization.

  2. PrimacyRL: Layer Resetting in Deep RL

    2024

    Proposed a resetting mechanism to address early learning dominance in deep reinforcement learning. Validated on Atari100k and DeepMind Control Suite using Pytorch and Google Dopamine.

  3. N-body Simulation

    2023

    Developed a complete N-body simulation using OpenMP, MPI, and CUDA to analyze particle interactions and performance across different architectures.

  4. Brain Prion Dynamics Simulation

    2023

    Simulated the spread of prions in human brain mesh using C++, Gmsh, Deal.II, and Paraview, based on anisotropic diffusion and the Fisher-Kolmogorov equation.