Summary
Thomas Martin is an earth scientist and entrepreneur with 11 years of experience building AI and remote sensing systems for hyperlocal climate and risk prediction. As co-founder of MeteoIA he helped design MIA, a high-performance AI platform delivering long-range, hyperlocal climate forecasts, and he continues to drive applied research as an associate researcher at the University of São Paulo. He holds a PhD in Atmospheric Science and a background in hydro-hazards from Grenoble, blending rigorous academic modeling with production-minded ML engineering. His work focuses on simulating subgrid-scale atmospheric processes and producing 30 m-resolution climate data—bringing research-grade methods into operational climate risk products. Less obvious: he pairs deep domain expertise in convection and microphysics with hands-on startup experience, enabling both novel methods and scalable deployment for stakeholders in Brazil and beyond.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Sciences, Technology and Health, Geoscience, Bachelor of Sciences, Technology and Health, Geoscience at Université Joseph Fourier (Grenoble I)
Masters of Earth and Environnement Sciences, Water, Climate and Environnement (ECE), section international (Hydrohasards), Masters of Earth and Environnement Sciences, Water, Climate and Environnement (ECE), section international (Hydrohasards) at Université Grenoble Alpes
University of São Paulo
Masters of Civil Engineering, Management of Hydrometeorological Hazards, section (Hydrohasards), Masters of Civil Engineering, Management of Hydrometeorological Hazards, section (Hydrohasards) at University of Thessaly
French, English, Portuguese