Adrian Höhl (PhD Student,
Explainable AI)

I am a Ph.D. student at the Technical University of Munich and part of the ML4Earth project. My path began with an interest in software engineering in my undergraduate studies in computer science, which I pursued as a software engineer for a year after graduation. During this time, my interest in artificial intelligence was sparked and I continued as a master’s student in this direction. Now, during my Ph.D., my passion for machine learning is ongoing and I am applying it to the field of remote sensing.
More specifically, my research focuses on explainable AI in remote sensing, where I try to open up the black-box behaviour of many machine learning methods and make them understandable to humans. Currently, I am working on the impacts of extreme climate events.