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viguardieiro/README.md

Hey there! I'm Vitoria, a first-year Ph.D. student at the University of Pennsylvania. I work in the Brachio Lab 🦕 under the supervision of Professor Eric Wong. My research focuses on machine learning interpretability and broader topics in trustworthy ML.

I earned my Master of Science in Mathematical Modelling in 2023 and my Bachelor of Science in Applied Mathematics in 2020 from the School of Applied Mathematics at Fundação Getulio Vargas. During my studies, I was part of the Visual Data Science Lab and worked with Professors Jorge Poco and Marcos M. Raimundo. My research focused on machine learning, multi-objective optimization, and fairness in ML.

After my master's, I worked as a research scientist at the Visualization and Data Analytics Research Center at New York University with Professor Claudio Silva. At NYU, I focused on visualization systems for Explainable AI and topological data analysis, developing tools to help interpret complex ML models.

My research interests include Machine Learning, Trustworthy ML, ML Interpretability, and Optimization.

Thanks for stopping by!

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  1. BrachioLab/InstABoost BrachioLab/InstABoost Public

    Instruction Following by Boosting Attention of Large Language Models

    Jupyter Notebook 7

  2. VIDA-NYU/TopoMap-pp VIDA-NYU/TopoMap-pp Public

    TopoMap++: A faster and more space efficient technique to compute projections with topological guarantees

    Jupyter Notebook 1

  3. moopt_fairness moopt_fairness Public

    Notebooks e códigos do meu trabalho de conclusão de curso

    Jupyter Notebook 2

  4. STI-DBSCAN STI-DBSCAN Public

    A Python implementation of sti-dbscan: an algorithm based on st-dbscan (which is based on dbscan) that clusters spatial-temporal interval data

    Python 1

  5. ENEM_TRI ENEM_TRI Public

    Analysis of the questions of the Brazilian National High School Exam (ENEM)

    Jupyter Notebook 1 1