Simone Scaboro
About
CV
Publications
  • About
  • CV
  • Publications

Simone Scaboro

scaboro.simone@gmail.com

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

Website made by me using React and Tailwind

(still WIP)