Estudiante De Doctorado at University of Montpellier
Tourbes, Occitania, France
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Summary
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Wencheng Lau-medrano is a marine biologist and PhD candidate at the University of Montpellier with 11 years of experience applying machine learning and predictive modeling to fisheries and aquatic ecosystems. He has led field biomass estimation campaigns—including Antarctic krill surveys—and developed automated tools and Shiny visualizations to translate large satellite and ecological datasets into actionable fisheries reports. His work spans pelagic, demersal and highly migratory stocks, combining hands-on sampling, ecosystem modeling (OSMOSE calibration) and spatial-temporal standardization methods (VAST). Currently his doctoral research focuses on using AI to improve stock sizing and dynamics for Indian Ocean tuna, bridging academic research with policy-relevant outreach. Colleagues value his ability to convert complex models into practical monitoring tools and to foster collaborations across NGOs, researchers and managers. An uncommon strength is his track record of moving between intensive field programs and advanced computational workflows, ensuring models stay grounded in real-world data.
11 years of coding experience
Bachillerato, Marine Biology and Biological Oceanography, Bachillerato, Marine Biology and Biological Oceanography at Universidad Nacional Mayor de San Marcos
Maestría, Ciencias del mar, Maestría, Ciencias del mar at Universidad Peruana Cayetano Heredia
Contributions:111 pushes, 1 branch in 9 years 7 months
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Wencheng Lau-medrano - Estudiante De Doctorado at University of Montpellier