I am a Deep Learning researcher with interests in Generative Models and Graph
Representation Learning, recently graduated
from the University of Amsterdam. I love programming competitions, cooking and sports.
Currently living in Amsterdam, NL.
I recently graduated from my Master programme in Artificial Intelligence at the University of Amsterdam. My research focuses on Generative Modeling with Deep Learning, and my latest project involved Image-to-Graph Generation for Extraction of Road Networks from satellite images. I have completed my BSc in Computer Science at the University of Trento, Italy.
Native speaker in Italian and professional proficiency in English. Proficient in Python and ML/DL tools like PyTorch, NumPy, Matplotlib. I have experience with C++, MATLAB, Java, Node.js. I use Git and LaTeX.
You can find additional details in my CV.
January - September 2019
May - June 2018
January - May 2018
September 2017 - September 2019
Graduated Cum Laude
GPA: 8.8 / 10
September 2014 - July 2017
Graduated with 110 marks out of 110 with honour
GPA: 28.8 / 30
September 2009 - July 2014
Graduated with 100 out of 100
Introducing the Generative Graph Transformer (GGT), a deep autoregressive model that makes use of attention mechanisms for image conditioning and the recurrent generation of graphs.
Presenting the real-world Toulouse Road Network dataset. This dataset is proposed for the task of road network extraction from semantic segmentation of satellite images in the framework of image-to-graph generation
Science Park 904
1098 XH Amsterdam