Stefan Jetschny

Stefan Jetschny holds a Ph.D. degree in geophysics from the Karlsruhe Institute of Technology, Germany. He combines more than 20 years of experience both in academic and in industry research. His main research activities incorporate application of massive, scalable, numeric algorithms to large datasets to solve applied problems, earlier in the field of subsurface earth characterization and now environmental research. 

During his occupation as an assistant professor, he was contributing to and managing projects with respect to seismic modeling and inversion for near surface applications. This also included the development of open source forward and inverse finite difference modeling codes. While working for a technology driven oil and gas service provider, he developed innovative and novel marine survey geometries and strategies by exploring the full chain of geological model building, synthetic data generation and application of state-of-the-art seismic processing algorithms. 

In his current role as a Machine Learning Scientist / Senior researcher at NILU, Stefan contributes to the NILU’s aspiring data science team to help apply machine leaning and AI related methods to the institute’s versatile project catalog. He is actively involved in the European Topic Center for Data integration and digitalisation (ETC DI) and coordinates the EU Horizon project FAIRiCUBE. In addition, he is the main safety representative at NILU and enjoys the voluntary work in the welfare committee.