Biography

I received my bachelor’s degree in engineering sciences from the Technical University of Munich (TUM) in 2018 and passed the elite master’s degree in neuroengineering (TUM) with honours in 2022. Between 2018 and 2021, I was employed at the Institute for Cognitive Systems (TUM) where I worked on adaptive machine learning algorithms for the decoding of neuronal signals in brain–computer interfaces. In my master thesis I worked on interpretable machine learning methods in hearing diagnostics using Bayesian Inference in a joint project between the University of Tübingen, the Harvard Medical School and the TUM. Since 2022 I am part of the Translational Neuromodeling Unit where I focus on the development of mechanistic models of the insula cortex within the dynamic-causal modeling framework.