Information
📚 Organization | University of Rome La Sapienza |
📆 Period @ ESA Φ-lab | September 2025 - March 2026 |
🌍 Project @ ESA CIN | ⚠️ Project is ongoing - Physics-Informed Generative Modeling for EO |
📍 GitHub | https://github.com/Francesca1-1 |
🔨 Linkedin | https://it.linkedin.com/in/francesca-de-falco- a50748254 |
📝 Publications | Google Scholar |
Bio
Francesca De Falco is a Ph.D. student in Information and Communication Technologies at Sapienza University of Rome. Her research focuses on quantum machine learning and quantum computing, with a particular emphasis on quantum generative modeling. She earned both her Bachelor’s and Master’s degrees in Electronic Engineering cum laude from Sapienza University of Rome. For her Master’s thesis, she was a visiting researcher at the European Space Agency, and during her Ph.D. she spent several months as a visiting student at Los Alamos National Laboratory.
Her expertise lies in Quantum Computing, particularly Quantum Machine Learning and quantum generative modeling. She explores how full quantum generative models can be developed for Earth Observation data, accounting for the underlying physical principles and inherent symmetries of such data. This work contributes to advancing emerging quantum technologies and their potential applications within ESA Φ-lab’s Collaborative Innovation Network.
Driven by a vision of a future where quantum and classical machine learning jointly address complex scientific and industrial challenges, De Falco is committed to developing practical, high-impact solutions that accelerate innovation in Earth Observation and beyond.