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 PhD student in Information and Communication Technologies at Sapienza University of Rome. Her research focuses on quantum machine learning and quantum computing, with a particular interest in quantum generative modelling. She completed both her Bachelor’s degree in Electronic Engineering and her Master’s degree in Electronics Engineering at Sapienza University of Rome, graduating cum laude in both cases. For her Master’s thesis, she was a visiting researcher at the European Space Agency (ESA), and during her PhD she spent several months as a visiting student at Los Alamos National Laboratory (LANL).
Current Role
She is currently pursuing her PhD at Sapienza University of Rome under the supervision of Professor Panella. Her research lies at the intersection of quantum computing and machine learning, with a focus on quantum generative models.
Areas of Expertise
Francesca’s expertise spans several key areas within quantum computing, including quantum machine learning and, more specifically, quantum generative modeling. She explores how full quantum generative models can be developed and applied to Earth Observation data, considering the unique characteristics of such data, including underlying physical principles and inherent symmetries. This knowledge contributes to understanding how emerging quantum technologies may support future breakthroughs in the analysis and use of Earth Observation data.
Vision for the Future
She envisions a future where machine learning and quantum machine learning play a central role in high-impact fields. She is committed to advancing these technologies and believes they have the potential to bring significant progress in domains such as Earth Observation, space innovation, and other scientific and industrial areas, transforming complex challenges into practical and meaningful real-world solutions.