Research: Hyperspectral Imaging and Spectroscopy for Medical Diagnostics
Workplace: Latina, Rome
Supervisors: Marco Tafani, PSTP Technoscience
Research Experience:
- Autoregressive Transformers applied to molecular structure elucidation, latent test-time compute
- Graph Neural Networks (GNNs) and Topological Data Analysis (TDA) applied to industrial and scientific problems
- Supervised and self-supervised learning on spectroscopic data
- Entropy-based sampling and test-time computation for LLMs
Education:- MBA (Collège des Ingénieurs)
- Alta Scuola Politecnica (Politecnico di Torino and Politecnico di Milano)
- MSc in Mathematical Engineering (Statistics and Optimization on Data and Networks) (Politecnico di Torino)
- BSc in Physics (University of Bologna)
Skills:
- Geometric Deep Learning, Graph Neural Networks, Contrastive Learning, Autoregressive Large Language Models
- Python, PyTorch Geometric, R, C++, React.js, Web Development
- Spectroscopy, Scientific Computing, Physics , Mathematical modeling
- Topological Data Analysis, Topological Deep Learning