CV

Education

Ph.D. in Computer Science, Bocconi University, Milan — Sep 2026 – present
- Research: transformer models for understanding gene regulation and synthetic biological data generation
- Core courses: Computer Science, Modern Machine Learning, Bayesian Statistics, Statistical Physics, Stochastic Processes
- Recipient of a PhD scholarship from the Fondo Italiano per la Scienza (FIS) for the DECODE project
- Supervised by Prof. Andrea Tangherloni
M.Sc. in Artificial Intelligence, Bocconi University, Milan — Sep 2024 – Oct 2026
- GPA: 28.1/30
- Thesis: Gene Regulatory Network Inference from Enformer-based models
- Core courses: Bioinformatics, Deep Learning, Reinforcement Learning, Natural Language Processing, Computer Vision, Software Engineering
B.Sc. in Mathematical and Computing Sciences for Artificial Intelligence, Bocconi University, Milan — Sep 2021 – Jul 2024
- Grade: 106/110
- Thesis: Enriched Gene Regulatory Network algorithm applied to cancer cell dataset
- Core courses: Algebra, Analysis, Physics, Statistics, Machine Learning, Optimization, Algorithms, Neuroscience

Visiting Researcher, Weatherall Institute of Molecular Medicine, University of Oxford, UK — Feb 2026 – May 2026
- Applied pre-trained transformer-based models (Enformer, AlphaGenome) to infer cell-type-specific Gene Regulatory Networks from multi-omics epigenomic data (RNA-seq, ATAC-seq, TF ChIP-seq)
- Worked with large-scale datasets and HPC infrastructure (SLURM, GPU-accelerated training)
- Supervised by Prof. Jim Hughes and Simone Riva
Assistant Researcher, Department of Computing Sciences, Bocconi University, Milan — Sep 2024 – present
- Developed machine learning methods for Gene Regulatory Network inference using scRNA-seq and scATAC-seq data
- Extended the CellOracle framework with enrichment-based methods to improve biological interpretability
- Awarded three research contracts under the ERC-funded MicroC project
- Supervised by Prof. Francesca Buffa

Programming: Python, C, R
AI libraries: NumPy, Pandas, PyTorch, XGBoost, LangChain, Scikit-Learn, Optuna, Keras, Captum, Hugging Face
Bioinformatics: Scanpy, CellOracle, deepTools
Tools: Linux shell, Git, HPC (SLURM), GPU computing