Histopathology image classification to predict molecular subtypes. Includes datasets, EDA and preprocessing notebooks, patch extraction, baseline models, and training utilities for quick experiments and reproducible evaluation. Project for the Artificial Neural Networks and Deep Learning course at Politecnico di Milano (PoliMi) (2025/2026).

Second (part 2) university project of the Software Engineering for HPC course. Created a CI/CD github pipeline to: test an application (1), containerize the application using Singularity (2), send the Singularity build to the Galileo100 supercomputer (3), and make the results from the cluster available (4).

Implement a finite-element solver for the 2D wave equation using spatial FEM and an appropriate time-integration scheme. Discuss stability, numerical dispersion and dissipation, boundary/initial conditions, and the computational and algorithmic aspects of the chosen method.

Example codes for learning numerical methods for PDEs using C++ and deal.II (PoliMI course).

Deep Neural Netowrk (TCN + BiLSTM with Attention) model on multivariate time-series classification. Project for the Artificial Neural Networks and Deep Learning course at Politecnico di Milano (PoliMi) (2025/2026).

This is a project made for Politecnico di Milano, for the Logic Networks course.

University project of the Parallel Computing course. There are two challenges that are solved using parallel computing techniques and two famous frameworks: OpenMP and CUDA.

University project of the Numerical Linear Algebra course. There are two challenges solved using NLA knowledge and two famous library: Eigen and LIS.

Second (part 1) university project of the Software Engineering for HPC course. Implemented Google Test to find bugs in a buggy implementation and implemented automation using github workflows.

Custom implementations of core data structures and algorithms in C, optimized for memory layout and high-throughput data processing.