Experience

 
 
 
 
 
FAIR / Meta AI
Postdoctoral Researcher
September 2023 – Present Paris, France
Working on self-supervised learning for video world models, object-centric representations, and vision-language alignment, in the DINO team at FAIR.
 
 
 
 
 
FAIR / Meta AI
Research Scientist Intern
June 2022 – September 2022 Paris, France
Research internship during my PhD, worked on semantic image compression with vector-quantized autoencoders and DINO saliency maps.
 
 
 
 
 
Huawei Research
Research Scientist Intern
June 2021 – September 2021 Dublin, Ireland
Research internship during my PhD, worked on explainable detection of DeepFake videos.
 
 
 
 
 
Zalando Research
Research Scientist Intern
January 2018 – July 2018 Berlin, Germany
Research internship for my Master’s thesis, worked on generative models for virtual try-on.
 
 
 
 
 
Pop Meals, formerly Dahmakan
Data Science Intern
June 2017 – August 2017 Kuala Lumpur, Malaysia
Helped the development of demand forecasting models and route optimization algorithms for a food delivery startup.

Education

 
 
 
 
 
KTH - Royal Institute of Technology
PhD in Deep Learning
September 2018 – June 2023 Stockholm, Sweden
Thesis on structured representations for model explainability in deep learning and computer vision. Supervised by Prof. Hossein Azizpour at the division of Robotics, Perception and Learning.
 
 
 
 
 
KTH - Royal Institute of Technology
MSc in Machine Learning
August 2016 – July 2018 Stockholm, Sweden
Thesis on generative models for virtual try-on, supervised by Prof. Josephine Sullivan and Urs Bergmann.
 
 
 
 
 
UNIBO - University of Bologna
BSc in Computer Engineering
September 2013 – July 2016 Bologna, Italy
Graduated with honors (110L/110).

Accomplish­ments

ICASSP Travel Grant
Awarded a travel grant by the ÅForsk Foundation to attend the ICASSP 2023 conference and present the paper “Variable Rate Allocation for Vector-Quantized Autoencoders”.
BMVC Travel Grant
Awarded a travel grant by the Karl Engvers Foundation to attend the BMVC 2022 conference and present the paper “Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors”.
ECCV Outstanding Reviewer
Ranked among the top 12 reviewers of the ECCV 2020 conference, based on the quality of the reviews and the feedback to the authors.
See certificate
ICLR Travel Grant
Awarded a travel grant by the Karl Engvers Foundation to attend the ICLR 2020 conference.
Best Student Project
Reimplementation and analysis of “Colorful Image Colorization”. The project has 400+ starts on GitHub, was praised by François Chollet, and is cited in several spinoffs, scientific papers, and blog posts.

Skills

Technical Skills
Pytorch
SLURM
HPC Administration
Languages
🇮🇹 Italian
🇬🇧 English
🇫🇷 French
🇸🇪 Swedish
Hobbies
Climbing
Cooking
Photography

Curriculum Vitae