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.

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

Experience

 
 
 
 
 
NVIDIA
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.
 
 
 
 
 
NNAISENSE
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.

Accomplish­ments

Coursera
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.

Publications

Timeline

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

Contact