I'm currently a Master student in Information Engineering at the University of Florence. The main focuses of my studies are Machine Learning, Optimization and Information Theory. I lean towards the theoretical aspects of these disciplines but I'm also passionate about the applications, specifically the ones related to physics, medicine and music.

If you want you can visit my blog where I (very rarely) post more detailed descriptions of my projects. I also have a section on free books, courses and resources on ML/DL/Physics you might be interested into.

• wae_music: Trying to use Wasserstein Autoencoders for music generation.
• graph_exploration: Mixing Reinforcement Learning and Graph Neural Networks for unknown graphs exploration.
• 3d_face_class: Using Graph Neural Networks to classify 3D meshes of human faces.
• pqc_chsh: Parameterized Quantum Circuits and Bayesian Optimization for violating the Bell Inequality.
• GenerativeHCI: Arduino + sensors + MaxMSP = create music based on your surrounding environment.
• kmeans and mean_shift: Clustering algorithms in C++17: parallel implementations with OpenMP and CUDA.