Vitoria Guardieiro
PHD Student at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolVitoria Guardieiro is a PhD student in Computer and Information Science at the University of Pennsylvania with nine years of experience bridging applied mathematics, data science, and AI research. She recently worked as a research scientist at NYU’s Visualization and Data Analytics (VIDA) center, focusing on Topological Data Analysis and visualization techniques that make complex models interpretable. Her academic path from a BSc and an MSc in Mathematical Modelling at Fundação Getulio Vargas to current doctoral research reflects a strong foundation in mathematical rigor and practical data science applications. Vitoria has taught machine learning and optimization courses, mentored undergraduate research, and applied data science in industry roles, demonstrating an ability to communicate technical ideas across audiences. Based in Philadelphia, she blends theoretical TDA expertise with hands-on visualization work—an uncommon mix that supports both novel research and real-world analytic solutions.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Mathematical Modelling, A, Master's degree, Mathematical Modelling, A at Fundação Getulio VargasDoctor of Philosophy - PhD, Computer and Information Science, Doctor of Philosophy - PhD, Computer and Information Science at University of Pennsylvania
Portuguese, English
Github Skills (25)
thai5
semantics5
ontologies5
linked-data4
python4
owl4
lexicon4
wordnet3
creative-commons3
sumo3
rdf3
data-science3
machine-learning3
semantic-web3
ontology3
Programming languages (5)
Github contributions (5)
viguardieiro/TopoMap
Feb 2024 - Apr 2024
Contributions:78 pushes, 9 branches in 2 months
viguardieiro/ML_BSc_2019
May 2019 - Aug 2021
Code repository for the undergraduate Machine Learning course at FGV (2019)
Contributions:2 PRs, 9 pushes in 2 years 2 months
undergraduatepythondata-sciencemachine-learning-coursemachine-learning
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