Summary
Caio Stringari is a Data Scientist and Earth Scientist (PhD) with 11 years of experience applying machine learning and hydrodynamic modeling to coastal and ocean engineering problems. He blends hands-on Python data modeling with expertise in wave and hydrodynamic models (openTelemac, SWAN, SWASH, WaveWatchIII) to tackle issues like wave breaking, energy dissipation, and wave-wave interactions. After a postdoc focused on marine renewable energy at France Énergies Marines, he transitioned to industry work at BGC Engineering, bringing a practical forecasting background from five years as lead wave forecaster for Broou. Caio builds end-to-end systems—databases, automated imaging, forecasting pipelines—and has developed low-cost coastal monitoring hardware and telemetry in addition to model code. Known for thinking outside the box, he pairs rigorous academic research with production-grade forecasting and data-quality management across international projects.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences, Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences at University of Newcastle
Oceanographer, Oceanography, Chemical and Physical, 2010, Oceanographer, Oceanography, Chemical and Physical, 2010 at Universidade Federal do Rio Grande
Memorial University of Newfoundland
English, Portuguese, Spanish, French