Biography
I am an enthusiastic Ph.D. student in Computer Science at Sapienza, University of Rome, where I am part of the GLADIA research group, led by prof. Emanuele Rodolà.
I believe curiosity to have a primary role in guiding research, and hence I am always looking forward to explore new directions in my field. My background includes hands-on research experience in Natural Language Understanding, Computer Vision and Geometric Deep Learning. Some of my more stable interests include frontier Machine Learning themes such as Graph Representation Learning, Few-Shot Learning and Multi-modality.
I wholeheartedly advocate for cleaner code in ML, as complexity should not be fought with more complexity. Maybe unsurprisingly at this point, I really enjoy coding. Funnily enough, I enjoy it so much that I often code as a mean to get away from a tiring day of coding.
In my (too little) free time, I enjoy throwing away my laptop to reconnect with nature through hiking and/or camping. Finally, like most of the humans on this planet, I enjoy travelling and good food.
- Artificial Intelligence
- Graph Representation Learning
- Multi-Modality
- Few-Shot Learning
- Natural Language Understanding
Ph.D. in Computer Science, present
Sapienza, University of Rome
MS.c. in Computer Science, 2021
Sapienza, University of Rome
110/110 with honours | GPA 30.5/31
BS.c. in Computer Science, 2019
Sapienza, University of Rome
110/110 with honours | GPA 29.6/31
News
Experience
- Undertook research on Knowledge Graphs and Natural Language Understanding;
- Designed novel Deep Learning models for Query Understanding.
- Lecturer and mentor for the Deep Learning MSc course.
- Conducted Natural Language Understanding research for Alexa;
- Reduced training times by up to 90% by designing a novel deduplication technique.
- Gave lectures for a prep course for the Italian Olympiads of Informatics
- Assisted the students to efficiently solve computer science problems
Recent Publications
