Lucas Emanuel Resck

MSc student at Fundação Getulio Vargas, Brazil


Fundação Getulio Vargas

190 Praia de Botafogo

Rio de Janeiro 22250


Hi there! 👋

I’m an MSc student in Mathematical Modeling at the School of Applied Mathematics at Fundação Getulio Vargas (FGV), Rio de Janeiro, Brazil.

Check my publications at NAACL Findings, AISTATS, and TVCG!

I hold a BSc in Applied Mathematics at FGV (2021) and I’m a member of the Visual Data Science Lab at FGV (since 2020), where I develop research in NLP and XAI. In 2022, I visited the Vision, Language, and Learning Lab at Rice University, Houston, to develop research ideas in XAI. I also have experience in projects applying ML, NLP, XAI, and Data Visualization in legal problems.

Research interests:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Explainable AI (XAI)


May 14, 2024 My master’s thesis was approved! I now have a Master’s degree in Mathematical Modeling from the School of Applied Mathematics at Fundação Getulio Vargas.
May 6, 2024 I was accepted to participate in the Lisbon Machine Learning School (LxMLS 2024), in July 2024, with a generous scholarship from Google and Zendesk.
Apr 29, 2024 I was accepted as a volunteer for FAccT 2024, in Rio de Janeiro, Brazil, in June 2024.
Apr 27, 2024 My NAACL Findings 2024 paper was accepted for a poster presentation at the LatinX in NLP at NAACL 2024 workshop.
Apr 19, 2024 I’ve accepted a PhD offer from the University of Cambridge, among five options in Europe and the US! I’ll join Prof. Anna Korhonen’s NLP research group in October within the ELLIS PhD Program.
Apr 18, 2024 I was selected to participate in the 11th Heidelberg Laureate Forum (HLF), in Heidelberg, Germany, in September 2024. The HLF is a networking conference where young researchers in math and CS can meet laureates of the Abel Prize, Fields Medal, and Turing Award.
Apr 5, 2024 My work on exploring human annotations to improve NLP explanations has been accepted into NAACL Findings 2024 and will be presented at NAACL 2024! Preprint available here.

selected publications


  1. Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
    Lucas E. Resck, Marcos M. Raimundo, and Jorge Poco
    In Findings of the Association for Computational Linguistics: NAACL 2024, Jun 2024
    To appear


  1. Distill n’ Explain: explaining graph neural networks using simple surrogates
    Tamara Pereira, Erik Nascimento, Lucas E. ResckDiego Mesquita, and Amauri Souza
    In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, Apr 2023
  2. LegalVis: Exploring and Inferring Precedent Citations in Legal Documents
    Lucas E. Resck, Jean R. Ponciano, Luis Gustavo Nonato, and Jorge Poco
    IEEE Transactions on Visualization and Computer Graphics, Jun 2023
    Presented at Visualization & Visual Analytics (VIS) 2022