Summary
Rocío Joo is a data scientist and statistician with nine years of experience applying advanced statistical and signal-processing methods to fisheries, seabird movement, and oceanographic data across the Humboldt Current System. Currently at Global Fishing Watch, she blends ecological domain expertise with quantitative skills developed during postdoctoral and research roles at institutions like the University of Florida, IFREMER and IMARPE. Her work spans satellite- and acoustic-derived datasets, movement ecology, and sampling design, and she has contributed to R movement tools and neural-network approaches for detecting fishing operations. Comfortable in multidisciplinary teams, she bridges statisticians, ecologists and oceanographers to turn noisy environmental data into actionable insights. She holds a PhD in Numerical Ecology from Université Montpellier 2 and brings a practical mix of method development and operational monitoring experience.
9 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Biostatistics, Mathematics, Statistics and Applications, Master of Science (M.Sc.), Biostatistics, Mathematics, Statistics and Applications at Montpellier SupAgro
Bachelor of Science (B.Sc.), Statistics, Statistics Engineering, Bachelor of Science (B.Sc.), Statistics, Statistics Engineering at Universidad Nacional de Ingeniería
Doctor of Philosophy (PhD), Numerical ecology, Ecosystems, Doctor of Philosophy (PhD), Numerical ecology, Ecosystems at Université Montpellier 2
Spanish, English, French