About me

I am pursuing a MSc in Artificial Intelligence at Bocconi University in Milan, Italy after having graduated cum laude with a BSc in Economics and Computer Science.

I am currently doing my MSc Thesis at the Computer Vision and Geometry Group (CVG) at ETH Zurich, under the supervision of Dr. Zuria Bauer, Prof. Marc Pollefeys and Prof. Chiara Plizzari.

Previously, I spent two years as a Machine Learning Researcher at the Bocconi Institute for Data Science and Analytics and the AIRC Institute for Molecular Biology, under the supervision of Prof. Francesca Buffa. My work focused on exploring the scaling laws of deep learning models in transcriptomics and developing novel architectures for gene expression modeling.

To connect minds, not only layers, I co-founded Bocconi Students for Machine Learning (BSML), the first machine learning project-incubator at Bocconi University.

Timeline

Projects

Learning Distributional Value Functions

September 2026

Robotics, Machine Learning

Learned a distributional value function from robot rollouts labeled only as successes or failures, producing dense, frame-level signals that make failed trajectories useful for VLA training.

CodeResults

Scaling Recipes for Bio Foundation Models

August 2026

Bioinformatics, Machine Learning, Scaling Laws

Investigated empirical scaling behavior in foundation models trained on single-cell transcriptomes, quantifying power-law relationships across model capacity and training compute.

bioRxiv

Superquadria

August 2026

Python, 3D Environments, AI Agents

An agent harness that builds a 3D world and then plays it, using only text prompts.

CodeDemo