cv
This is a summary of my CV. For a complete version, please download the PDF.
Personal Information
Full name | Lucas Emanuel Resck Domingues |
Position | MSc student in Mathematical Modeling |
School | Fundação Getulio Vargas |
Place | Rio de Janeiro, Brazil |
lucas.resck@fgv.br | |
Research interests | Machine Learning (ML), Natural Language Processing (NLP), and Explainable Artificial Intelligence (XAI). I am particularly interested in improving the degree of explainability of ML and NLP models. |
Education
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2022 - present MSc, Mathematical Modeling
Fundação Getulio Vargas -
2018 - 2021 BSc, Applied Mathematics
Fundação Getulio Vargas - GPA: 3.86/4.0 --- 1st in class, 9.66/10.0, lowest passing grade of 6
Research Experience
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2020 - present Master's and Undergraduate Researcher
Visual Data Science Lab - Fundação Getulio Vargas
- Supervisor: Jorge Poco
- Design of a novel explainer for GNN node classification
- "Distill n' Explain" (AISTATS 2023) first distills the original GNN into an interpretable one and then explains the latter.
- Designed and proved lemmas and theorems that guarantee the method's explanation faithfulness.
- The proposed explainer outperformed previous methods in explanation accuracy while being orders of magnitude faster.
- Development of a visual analytics system to explore citations in legal documents
- "LegalVis" (TVCG 2023, VIS 2022, BSc Thesis) employs ML, NLP, XAI, and data visualization to infer non-explicit citations in Brazilian legal documents.
- Tested a diverse set of NLP classifiers (Transformers, word embeddings, and bag-of-words) and achieved high accuracy (96%) in identifying citations.
- Employed a model-agnostic explainer (LIME) to explain the inferred citations.
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2022 Visiting Scholar (3 months)
Vision, Language, and Learning Lab - Rice University, Houston, USA
- Supervisor: Vicente Ordóñez
- Explored training data attribution methods, e.g., influence functions, and ways to improve them. This activity continued after the visit.