Summary
Martin Schultz is a professor and senior researcher specializing in computational Earth system science, leading teams at Forschungszentrum Jülich and Universität zu Köln to develop cutting-edge deep learning models for weather, climate, and air quality. With over a decade of experience in Earth system science and high-performance computing—and a PhD in physical chemistry—he drove the ERC Advanced IntelliAQ project and is a core member of the AtmoRep team that built the first foundation model for weather. He combines scientific rigor and large-scale data systems leadership, focusing on AI-driven forecasting, interpolation of pollutant concentrations, and efficient data management at supercomputing scale. Though he now primarily manages projects and groups, he stays deeply engaged with the latest ML advances and enjoys discussing novel methods and their real-world atmospheric applications.
9 years of coding experience
Doctor of Philosophy - PhD Physical Chemistry, Doctor of Philosophy - PhD Physical Chemistry at Bergische Universität Wuppertal
Habilitation Meteorologie, Habilitation Meteorologie at University of Hamburg
Diplom Physik, Diplom Physik at Ruprecht-Karls-Universität Heidelberg / Heidelberg University