About me

I’m a statistician and data scientist with 7 years of working experience in data modeling, visualization, extraction, and transformation. Recently, I have been researching natural language processing techniques and text models in the context of fallacy detection and classification. I also worked in explainable and interpretable AI. In particular, with prototype-based interpretable neural networks and local interpretable model-agnostic explanations (LIME).

Key words about me: Natural Language Processing Data Science Argumentation FallaciesExplainable AI Interpretable AI Statistics Machine Learning

Education

MSc DATA SCIENCE AND ARTIFICIAL INTELLIGENCE
Université Côte d’Azur, France | 2020 - 2022

Honors Graduate (Mention Très Bien)

BACHELOR IN STATISTICS
University of Costa Rica, Costa Rica | 2013 - 2017

Honors Graduate

Work experience

Research

RESEARCH ENGINEER
INRIA, WIMMICS team and I3S laboratory, France | April 2023 - Present

Research in natural language processing (NLP) focused on models and techniques that utilize argumentation and other text data derived features to identify propaganda in social media and political debate contexts.

INTERNSHIP
I3S laboratory and INRIA, France | March 2022 - August 2022

Worked on prototype-based interpretable neural networks approaches for text classification. This study lies on the framework of ANR TRACTIVE, a project that regroups researchers several disciplines for the understanding of gender representation in visual media. It involved implementing various NLP techniques and text classification models. Read the full work here.

INTERNSHIP
Université Côte d’Azur and INRIA, France | April 2021 - July 2021

Worked on model agnostic interpretability methods in the ambit of images. More specifically, improving resampling process for LIME. Read the full work here.

Industry

JUNIOR DATA SCIENTIST
Walmart Supply Chain Analytics USA | October 2018 - July 2020

Directed and developed data analysis projects to provide agile solutions to business partners. Main projects included an anomaly detection system, statistical sampling design, and consumption layer design.

DATA ANALYST
Walmart Supply Chain Analytics USA | January 2017 - October 2018

Worked in data extraction, transformation, and visualization. Main projects included statistical process control techniques and KPI development.

DATA ANALYST
BAC Credomatic Regional Compliance Management, Costa Rica | April 2016 - December 2016

Developed money laundering detection models for five Central American countries.

Awards

Highest GPA among Statistics majors for three consecutive years : 2013, 2014, 2015. UNIVERSITY OF COSTA RICA

Honorable Mention: 9th place (out of ≈33 000) on National Admission Exam. UNIVERSITY OF COSTA RICA 2012-2013

Honorable Mention: 1st place (out of ≈20 000) on national Admission Exam. TECHNOLOGICAL INSTITUTE OF COSTA RICA 2012-2013

Main skills

python R LaTeX SQL

Publications

Goffredo, P., Chaves, M., Villata, S., & Cabrio, E. (2023). Argument-based Detection and Classification of Fallacies in Political Debates. In H. Bouamor, J. Pino, & K. Bali (Eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (pp. 11101–11112). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.684

Languages

• English C1
• Spanish C2 - Native
• Portuguese B2/C1
• French B2