Lívia Almada
Professora Adjunta at Insight Data Science Lab
Ceará, Brazil
Summary
👤
Senior🎓
Top SchoolLívia Almada is an associate professor and researcher with a decade of experience bridging academia and applied data science, based at the Federal University of Ceará. She holds a PhD and master’s in Computer Science with international research stints in Canada and France, focusing on spatio-temporal databases, machine learning, and NLP. Lívia has translated her research into practice through roles at Insight Data Science Lab and cooperative deep-learning work at UVSQ, developing models for movement prediction. Her background combines database engineering and systems analysis with advanced ML, giving her a strong foundation for production-ready research. She often works at the intersection of road-network analytics and traffic-aware computation—an uncommon niche that informs both her teaching and applied projects. Fluent in academic collaboration across continents, she brings a research-driven yet pragmatic approach to data-intensive problems.
10 years of coding experience
Bachelor, Computing Science, Bachelor, Computing Science at Universidade Federal do CearáMaster, Computing Science - Databases, Master, Computing Science - Databases at Universidade Federal do Ceara
English, Spanish, Portuguese
Github Skills (2)
extensible1
time-series1
Programming languages (2)
Github contributions (5)
liviaalmada/conexao-bd
Jan 2022 - Sep 2024
Contributions:8 pushes, 3 branches in 2 years 7 months
liviaalmada/traveltime
Feb 2017 - Oct 2017
Contributions:20 pushes, 5 branches in 8 months
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