About

I am a Postdoctoral Researcher in the Velten lab working on machine learning methods to analyze spatial omics data. Prior to my current role, I was a PhD Student in Bioinformatics in the LipiTUM group at the Chair of Experimental Bioinformatics at the Technical University of Munich. The main focus of my research currently lies on computational methods for the interpretation and (multi-omics) integration of metabolomics data in a systems biology context. For developing these algorithms I am utilising methods from (classical) graph-theory, machine learning and deep-learning. I am also interested in applying computational models to real-world data. At the moment this means mostly biomedical data. However, I have spend quite some time on applications in plant science in the past, as well.

For details on my road to being a Postodoctoral researchre, please refer to my academic CV