Rocío Joo

Profile picture of Rocío Joo

Rocío works as a Data Scientist in the Research and Innovation team at Global Fishing Watch. Her main projects are related to the development of machine learning algorithms to identify forced labor at sea, fairness in machine learning and data ethics, diversity and inclusion, practices for better R coding, and tracking data analysis (e.g. fishing vessels, seabirds or others).

Rocío has a background in statistics, mainly applied to ecology and fisheries science. She obtained her bachelors degree in statistics engineering at Universidad Nacional de Ingeniería (Peru), masters in biostatistics and PhD in ecosystems at Université de Montpellier (France). Her PhD research focused on modeling the movement of fishing vessels and its links to other ecosystem components. Previously to her current job, Rocío worked at the Instituto del Mar del Perú (Perú) as a research associate, and at the Institut français de recherche pour l’exploitation de la mer (France) and University of Florida (USA) as a postdoctoral associate.

At UF, Rocío’s main projects involved investigating the state of the field of Movement Ecology using machine learning techniques, modeling the links between seabird behavior and wind conditions with Hidden Markov models, and advising Jenicca’s master research on a workflow to evaluate reproducibility in scientific publications, using the field of Movement Ecology as a case study.

When she’s away from her work computer, she enjoys playing drums, cajon or other instruments, cooking, reading history books, or watching the sea.

Check Rocío’s website for more updates!

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