Ygor Canalli
Professor at COPPETEC Foundation
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolYgor Canalli is a professor and Ph.D. researcher in Systems Engineering with 12 years’ experience applying machine learning, data science and fairness-aware AI in both academia and applied biodiversity projects. He teaches systems development at Colégio Pedro II while leading project development at COPPETEC on national initiatives like Reflora and Brazilian taxonomic catalogs, blending full-stack software skills with domain-focused data engineering. His research emphasis on FairML and deep learning complements hands-on work managing multidisciplinary teams to deliver large, data-intensive public-science systems. Based in Rio de Janeiro, he pairs rigorous academic training from UFRJ with practical product delivery for environmental and government partners, an unusual mix that helps bridge research, pedagogy and real-world impact.
12 years of coding experience
3 years of employment as a software developer
B.Sc., Computing Science, B.Sc., Computing Science at Universidade Federal Rural do Rio de JaneiroPh.D., Systems Engineering, Ph.D., Systems Engineering at Universidade Federal do Rio de Janeiro
English, Portuguese
Github Skills (37)
pytorch10
python10
data-science10
machine-learning10
col10
deep-learning10
projeto10
campus10
gio10
tensorflow9
jax9
java8
neural-network8
pypy7
julia6
Programming languages (9)
Github contributions (5)
ygorcanalli/FairTransitionLoss
Mar 2022 - Jun 2024
Contributions:247 pushes, 2 branches in 2 years 2 months
cp2-dc-info/lp3
Jun 2019 - Aug 2019
Contributions:21 commits, 14 pushes, 1 branch in 2 months
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