I'm a mathematician specialized in data science currently pursuing a PhD in quantum computing at Sapienza University of Rome in the Department of Information Engineering, Electronics and Telecommunications (DIET) in the Neural Network Systems & Applications Laboratory (NESYA) multidisciplinary lab. Before starting my journey in quantum computing I've worked as an IT consultant and as a data scientist for a consulting firm in Rome. I enjoy multidisciplinarity, working both independently and in groups. More generally, I am passionate about participating in innovative projects that contribute to the improvement of society and the environment. Here I share some parts of my work as well as those projects I carry out in my free time and which are helping me grow, both personally and professionally.
📚 I also write! Yes, on an actual blog — because I still believe in the long form. Check it out, along with my personal website.
- Machine Learning-Guided microfluidic optimization of clinically inspired liposomes for nanomedicine applications
- A topical review on time-independent perturbation theory in one-dimensional quantum systems
- Materials related to the 2025 International Joint Conference on Neural Networks
- Hybrid Quantum-Classical Framework for Anomaly Detection in Time Series with QUBO formulation and QAOA
- Perturbation theory in the qubit model
- Rogue Waves and the Non-Linear Schrödinger Equation
| 🚀 Applets | 📊 Datasets | 🤖 Automations |
|---|---|---|
| Quantum Optimization | Island dataset extracted with Google Earth Engine, tailored for renewable energy policy analysis. | Random and quantum walks with Arduino |
| Perturbative methods in quantum mechanics | ||
| Molecular Solubility Predictor |
If you have a passion for quantum things, or meaningful code, feel free to reach out — I’m always up for a good chat or collaboration. Thanks for stopping by!