About me
I am a Ph.D. student at the Sapienza University of Rome in the Gladia research group led by Professor Emanuele Rodolà.
I’m excited by many Computer Science fields and, in particular, by Artificial Intelligence. I am passionate about frontier research, crossing the boundaries of AI and other applied disciplines. Currently, my research focuses on geometric deep learning, representation learning, and reasoning.
I’m a strong believer of reproducibility in science, and make an effort to write clean, well organized and documented code. I strive to keep up to pace with the latest technological advancements and I like to think of myself as an early adopter.
I am a long time Linux user and open source enthusiast. When I can, I try to give back to the open-source community.
- Artificial Intelligence
- Geometric Deep Learning
- Representation Learning
- Reasoning
Ph.D. in Computer Science
Sapienza University of Rome
School of Artificial Intelligence, 2019
Pi School
Experience
- Build and launch interactive applications that connect real users to a new generation of AI-powered 3D tools.
- 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.
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.
Projects
Open Source
Expose useful shortcuts to move windows, an easy-to-use middle ground between the default behavior and the tiling approach.
Currently, the 5th most popular Kwin script.
Accomplishments
