Summary
Ignacio Gomez is a research scientist at Google with eight years of experience applying AI and physics-based modeling to weather and climate risk. He has a strong academic foundation—PhD and MS from Caltech and aerospace training from ISAE-SUPAERO and Universidad Politécnica de Madrid—and a track record of reducing forecasting biases by blending turbulence modeling, Bayesian inference, and machine learning. At CliMA he developed turbulence and uncertainty-quantification methods that harness satellite and high-resolution data, and as a Google intern built deep-learning heat-wave forecasts up to 28 days ahead. He combines rigorous numerical simulation experience (LES, fluid dynamics, collision modeling) with practical ML system-building, making him adept at turning complex geophysical science into deployable forecasting tools. Based in San Francisco, he brings both domain depth and cross-disciplinary engineering skills that bridge research and operational weather prediction.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Aerospace Engineering, 8.6/10.0, Bachelor of Science (BSc), Aerospace Engineering, 8.6/10.0 at Universidad Politécnica de Madrid
Master of Science (MSc), Aerospace Engineering, Master of Science (MSc), Aerospace Engineering at ISAE-SUPAERO
California Institute of Technology
Visiting Student, Mechanical & Aerospace Engineering, GPA: 3.92/4.00, Visiting Student, Mechanical & Aerospace Engineering, GPA: 3.92/4.00 at University of Florida
Spanish, English, French