Yuri Lavinas

Associate Professor - Maître De Conférences

Toulouse, Occitania, France
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Summary

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Yuri Lavinas is an associate professor at Université Toulouse 1 Capitole with 12 years of experience researching Computational Intelligence, specializing in Genetic Programming, multi-objective optimization, fitness landscapes and Artificial Life. He completed his PhD at the University of Tsukuba after undergraduate studies in Brazil and recently held a postdoc at INSERM working on histopathology image analysis for cancer treatment, blending evolutionary methods with biomedical applications. His work spans black-box optimization, multi-agent systems and the speculative design of evolving virtual creatures and worlds, reflecting a curiosity for adaptive programs beyond traditional engineering problems. Yuri has research experience in industry labs (Sony CSL) and international collaborations (visiting fellow at Stirling), signaling an ability to translate theoretical advances into interdisciplinary projects. Notably, his early research applied genetic algorithms to earthquake risk modeling, evidencing a long-standing interest in real-world, high-impact applications of evolutionary computation.
code12 years of coding experience
job6 years of employment as a software developer
bookResearch Student, Computer Science, Research Student, Computer Science at University of Tsukuba
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade de Brasília
languagesEnglish, Japanese, Portuguese, Spanish
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Github Skills (20)

decomposition9
r-package9
reinforcement-learning-environments9
neuroevolution8
evolutionary-computation8
evolutionary8
computation7
evolutionary-algorithms7
genetic-programming7
monte-carlo-tree-search6
reinforcement-learning6
server5
modular4
simulator4
robocup4

Programming languages (5)

RC++TeXJupyter NotebookPython

Github contributions (5)

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PyQuake/earthquakemodels

Nov 2014 - Aug 2017

Contributions:1728 commits, 1716 pushes, 2 branches in 2 years 10 months
yurilavinas/MOEADr

Oct 2018 - Mar 2023

R package MOEADr, a modular implementation of the Multiobjective Evolutionary Algorithm with Decomposition (MOEA/D) framework
Contributions:395 pushes, 16 branches in 4 years 6 months
r-packagemultiobjectivedecompositionmultiobjective-optimizationmodular
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Yuri Lavinas - Associate Professor - Maître De Conférences