Luca Moschella

Luca Moschella

Ph.D. student in Computer Science

Gladia research group, Sapienza University of Rome

About me

Hey there! I’m a Ph.D. student at Sapienza University of Rome, and I’m part of the Gladia research group led by Professor Emanuele Rodolà.

My research interests primarily revolve around Artificial Intelligence, with a focus on representation learning and model compositionality. Specifically, I am intrigued by the mechanisms through which various neural models acquire similar representations, as well as the potential for model compositionality to enhance AI systems.

I believe that reproducibility is the backbone of science, which is why I make sure to write clean, well-organized, and documented code. Plus, staying up-to-date with the latest technological advancements is something that gets me excited, and I am always eager to explore the ever-changing landscape of AI.

As a long-time Linux user and open-source enthusiast, I take great satisfaction in contributing to the community whenever possible. I find it to be an immensely rewarding experience, and I believe that collaborative efforts can help foster an environment of knowledge-sharing and innovation.

  • Representation Learning
  • Geometric Deep Learning
  • Reasoning
  • Artificial Intelligence

Research Experience

Institute of Science and Technology Austria (ISTA)
International Research Visit
Oct 2023 – Jan 2024 Klosterneuburg, Austria
  • Research visit in the Causal Learning and Artificial Intelligence laboratory led by Prof. Francesco Locatello.
Universitat Pompeu Fabra (UPF)
International Research Visit
Sep 2023 – Sep 2023 Barcelona, Spain
  • Research visit in the Computational Linguistics and Linguistic Theory (COLT) laboratory with by Prof. Marco Baroni.
École polytechnique
International Research Visit
Jun 2023 – Jun 2023 Paris, France
  • Research visit in the GeoViC group at the LIX research laboratory of Ecole Polytechnique led by Prof. Maks Ovsjanikov.
Research Engineer Intern
Sep 2022 – May 2023 Toronto, Canada
  • Build and launch interactive applications that connect users to AI-powered 3D tools.
  • Working towards 3D scene prototyping powered by 2D diffusion models.
Research Intern
Jul 2021 – Dec 2021 Lugano, Switzerland
  • Designed and implemented a generic deep learning template to bootstrap industrial projects and automate the hyperparameters tuning.
  • Improved the company infrastructure to streamline the development and deployment of deep learning solutions.
Deep Learning & Applied AI @Sapienza
Teaching Assistant
Jan 2020 – Present Rome, Italy
  • Designed the course lab sessions to explain and show to the students fundamentals and cutting-edge techniques in many areas of deep learning.

  • Latest course material with interactive notebooks available here.

Grants & Awards

International Conference on Computer Vision (ICCV)
Outstanding Reviewer
International Conference on Learning Representations (ICLR)
ICLR notable top 5%
Joint project on multimodal 3D and NLP applications between our research group GLADIA at Sapienza and Maks Ovsjanikov’s group at Ecole Polytechnique. PI: Simone Melzi, Maks Ovsjanikov. Budget: 10,000€
Sapienza University of Rome
Avvio alla ricerca
Grant aimed at supporting the development of an international career, the scientific independence of young researchers, and the support for their research. PI: Luca Moschella. Budget: 1,000€


Eleventh International Conference on Learning Representations (ICLR 2023)
Eleventh International Conference on Learning Representations (ICLR 2023)
Lightning Developer Conference 2022
The 43rd annual conference of the european association for computer graphics (Eurographics 2022)
Mediterranean Machine Learning summer school
ELLIS Workshop on Geometric and Relational Deep Learning