About me
ML/AI Engineer with a focus on Deep Learning and Natural Language processing.
Skills
Some programming languages that I like:
Python
C
C++
C#
Julia
Haskell
Some frameworks I use daily:
PyTorch
Numpy
Pandas
Some of my favourite tools:
Vim
Latex
Markdown
Git
Bash
Figma
Vim
Latex
Markdown
Git
Bash
Figma
CV
Education
Master's Degree in Computer Science
University of Udine
09/2018 - 03/2021
University of Udine
09/2018 - 03/2021
Bachelor's Degree in Computer Science
University of Venice
09/2015 - 07/2018
University of Venice
09/2015 - 07/2018
Career
AI Engineer
Almawave
Almawave
Rome (IT)
06/2024 - present
Rome (IT)
Machine Learning Engineer
Previnet
Previnet
Treviso (IT)
01/2024 - 06/2024
Treviso (IT)
Machine Learning Engineer
Kjuicer
Kjuicer
Milan (IT)
08/2022 - 06/2023 (pause)
Milan (IT)
I'm helping this promising startup developing a constrained summarization model through the use of advanced Deep Learning techniques.
Graduate Research Fellow
AILab
AILab
University of Udine (IT)
04/2021 - 05/2023
University of Udine (IT)
Research activity mainly in the field of Adverse Drug Events detection from Social Media texts using Large Language Models. Recently, I've worked to improve the generalization ability of these models in a low-resource scenario. I am also working on neural-symbolic learning for multivariate time series.
Publications
Extensive evaluation of transformer-based architectures for adverse drug events extraction
B Portelli*, S Scaboro*, E Santus, H Sedghamiz, E Chersoni, G Serra
Knowledge-Based Systems
2023
Generalizing over Long Tail Concepts for Medical Term Normalization
B Portelli*, S Scaboro*, E Santus, H Sedghamiz, E Chersoni, G Serra
EMNLP 2022
2022
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation
S Scaboro, B Portelli, E Chersoni, E Santus, G Serra
Experimental Biology and Medicine (EBM)
2022
Neural-Symbolic Temporal Decision Trees for Multivariate Time Series Classification
G Pagliarini, S Scaboro, G Serra, G Sciavicco, I E Stan
TIME 2022
2022
NADE: a benchmark for robust adverse drug events extraction in face of negations
S Scaboro, B Portelli, E Chersoni, E Santus, G Serra
W-NUT 2021 (EMNLP 2021 Workshop)
2021
Monitoring user opinions and side effects on COVID-19 vaccines in the Twittersphere: Infodemiology Study of Tweets
B Portelli, S Scaboro, R Tonino, E Chersoni, E Santus, G Serra
Journal of Medical Internet Research (JMIR)
2021