Summary
Tapio Schneider is a leading climate scientist and professor at Caltech who directs the Climate Modeling Alliance (CliMA) to develop the first climate model that learns directly from Earth observations. With a PhD from Princeton and a career spanning Caltech, ETH Zurich, JPL, and recent roles at Google, he blends deep theoretical understanding of atmospheric dynamics and clouds with cutting‑edge machine learning and software-driven model development. His research has clarified how rainfall extremes and cloud feedbacks respond to warming, and he applies planetary-scale insights from Earth to bodies like Jupiter and Titan. As a mentor and institutional leader he has a track record of building multidisciplinary teams of scientists, applied mathematicians, and engineers to tackle practical climate prediction challenges. Less obvious: he moves fluidly between academic leadership and industry research, helping translate foundational climate physics into operational, data‑driven tools for mitigation and adaptation.
8 years of coding experience
23 years of employment as a software developer
Physics, Physics at University of Washington
Physics, Physics at The University of Freiburg
Doctor of Philosophy (PhD), Atmospheric and Oceanic Sciences, Doctor of Philosophy (PhD), Atmospheric and Oceanic Sciences at Princeton University