Summary
Fernando Cagua-jahn is a data scientist and ML engineer with 11 years of experience building human-centred data products that drive sustainability in marine and environmental domains. Currently at Global Fishing Watch after senior ML roles at Starboard Maritime Intelligence and WorldFish, he blends ecological research (PhD in Computational Biology) with production ML to turn complex ocean data into actionable insights. His background in mechatronics, marine engineering and field research — from whale sharks to large-scale fisheries — gives him a rare mix of hands-on domain experience and quantitative modelling. Known for pragmatic, human-centred ML, he focuses on reliable, interpretable systems that support conservation and policy decisions.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering, Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering at Universidad Nacional de Colombia
Doctor of Philosophy - PhD, Computational Biology - Quantitative Ecology, Doctor of Philosophy - PhD, Computational Biology - Quantitative Ecology at University of Canterbury
Student Exchange, Student Exchange at Technical University Munich
Master's degree, Marine Science and Engineering, Master's degree, Marine Science and Engineering at King Abdullah University of Science and Technology
Spanish, English, German, Swahili, Czech