Luca Moschella

Luca Moschella

Ph.D. student in Computer Science, NVIDIA Research Intern

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 Engineer Intern
Sep 2022 – Present Toronto, Canada
  • Build and launch interactive applications that connect real users to a new generation of AI-powered 3D tools.
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.


Reinforcement Learning Specialization
The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).
See certificate
Student Volunteer
Selected volunteer student to help in the organization of the conference.



Lightning Developer Conference 2022
Mediterranean Machine Learning summer school
ELLIS Workshop on Geometric and Relational Deep Learning