Martin
SCHULTZ

Martin leads the Earth System Data Exploration research group at the Jülich Supercomputing Centre and he is also a co-lead of the JSC division on Large-scale Data Science and professor for Computational Earth System Science at the University of Cologne. He has been an early adopter of modern deep learning methods to environmental science and won the ERC Advanced grant IntelliAQ (2018-2023) which laid a foundation for deep learning in air quality research. Martin coordinates the model development work package in the European Weather Generator project and he is co-chair of the global Tropospheric Ozone Assessment Report (TOAR) and oversees the TOAR database, which is one of the largest collections of air quality measurements worldwide. Formerly, he led the reactive gases component of the prototype model systems that now form the basis of the Copernicus Atmosphere Monitoring Service (CAMS) and he chaired the reactive gases science advisory board of the Global Atmosphere Watch programme at the World Meteorological Organisation.