Lucas Emanuel Resck
Incoming PhD Student at the University of Cambridge
![prof_pic.jpg](/assets/img/prof_pic.jpg?cf19c30fdb72ae4796449d332d457490)
Fundação Getulio Vargas
190 Praia de Botafogo
Rio de Janeiro 22250
Brazil
I am an incoming PhD student in Computation, Cognition and Language at the University of Cambridge, where I will be supervised by Prof. Anna Korhonen. I am a recipient of the prestigious Cambridge International Scholarship, funded by the Cambridge Trust, and part of the ELLIS PhD Program.
Currently, I am a researcher at the Visual Data Science Lab at Fundação Getulio Vargas (FGV) in Rio de Janeiro, Brazil. Since joining the lab in 2020, I have been conducting research in machine learning (ML), natural language processing (NLP), and explainable AI (XAI). I hold an MSc in Mathematical Modeling (2024) and a BSc in Applied Mathematics (2021), both from the School of Applied Mathematics at FGV.
In 2022, I was a visiting researcher at the Vision, Language, and Learning Lab at Rice University, Houston, where I focused on developing research ideas in XAI. Additionally, I have experience applying ML, NLP, XAI, and data visualization techniques to address challenges in the legal domain.
Research interests:
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Explainable AI (XAI)
news
Jun 13, 2024 | I was accepted to attend the ELLIS Doctoral Symposium 2024, in Paris, in August 2024, with a generous scholarship from G-Research. I will present my NAACL Findings 2024 paper as a poster. |
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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. |
selected publications
2024
- Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human RationalesIn Findings of the Association for Computational Linguistics: NAACL 2024, Jun 2024Also presented as a poster at the LatinX in NLP at NAACL 2024 workshop