I started my career as a software engineer; my undergrad degree is in computer science. After working for two years in the industry developing navigation systems for cars, I got a master’s degree at TU Munich. There I discovered my two passions: machine learning and computational biology. I went on to obtain a Ph.D. degree in these two areas. My research focus during my Ph.D. was the application and development of interpretable machine learning methods for answering core biological questions related to splicing differences between tissues and regulatory networks of RNA-binding proteins. For my postdoctoral studies, I will develop machine learning methods for imputing high-throughput genomic data sets, particularly with respect to 3D genome architecture.