About me

Education:

PhD in Meterorology
Master of Science: Physics of Earth and Atmosphere
Bachelor of Science: Meteorology

Interests:

Explainable Machine Learning
Uncertainty Quantification
Latent space representation
Complex non-linear systems and dynamics
Biogenic secondary aerosols
Atmospheric (multi-phase) chemistry

Universität Bonn. Copyright: Heribert Brechen - flickr

My research focuses on explainable machine learning and uncertainty quantification. Since I am a trained meteorologist and atmospheric chemist, I apply data-driven techniques in air quality research. As principal investigator of the "Artificial Intelligence Strategy for Earth System Data", I lead the construction of an Earth-AI software platform and Earth-AI e-learning platform. In my group, I am involved in PhD supervision and leadership in an interdisciplinary and multicultural environment.

For further information take a look at my CV.