Luiz De Lima
Professor EBTT at Instituto Federal de Sergipe
Paraíba, Brazil
Summary
👤
Senior🎓
Top SchoolLuiz De Lima is a data scientist and educator with about a decade of experience blending applied research and teaching in Brazil. He works at CESAR Labs on research and innovation projects while pursuing a master's and doctoral studies in Informatics at the Federal University of Paraíba, focusing on algorithmic bias and fairness. Luiz has hands-on experience building fair ML models using adversarial/GAN approaches and has founded a research group (EAI) to advance that work. As a professor and course instructor he has taught data science, Python, pandas and visualization tools, and previously led outreach programs preparing students for programming competitions. His background spans academic research, backend development for smart-city projects, and practical production-focused data science, giving him a rare combination of pedagogical skill and experimental rigor. He is based in Paraíba and often bridges classroom teaching with applied research to translate fairness research into real-world solutions.
10 years of coding experience
6 years of employment as a software developer
Pós-graduação Lato Sensu - MBA, Docência do Ensino Superior para a Nova Geração de Alunos, Pós-graduação Lato Sensu - MBA, Docência do Ensino Superior para a Nova Geração de Alunos at Descomplica Faculdade DigitalMestrado, Informatics, Mestrado, Informatics at Universidade Federal da Paraíba
English, Portuguese
Github Skills (15)
adversarial-learning8
discrimination7
r5
python5
bias-detection5
machine-learning5
benchmarking5
benchmark5
artificial-intelligence4
deep-learning4
pytorch4
datasets4
machine-learning-models4
fairness-ml3
ai3
Programming languages (4)
Github contributions (5)
limafernando/PDI
Sep 2018 - Nov 2018
Contributions:32 commits, 20 pushes, 1 branch in 2 months
limafernando/falsb
Feb 2021 - Oct 2022
Fair Adversarial Learning Strategies Benchmark
Contributions:111 commits, 24 PRs, 78 pushes in 1 year 7 months
pytorchadversarial-learningbenchmarkingdeep-learningadversarial
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