Hendrik Mehrtens is a shared doctoral candidate between the ‘Machine Learning in Oncology Lab’ led by Prof. Florian Büttner and the ‘Computational Genomics’ department of Prof. Oliver Stegle at the DKFZ. His research focuses on reliable machine learning methods integrating large-scale EHR data with multimodal data like genomics data, with a focus on causality and uncertainty estimation. He obtained a bachelor’s in computer science at the Georg-August Universität Göttingen, before completing his master’s in Visual Computing (Computer Science) at the TU Darmstadt. Before starting his PhD, Hendrik worked as a staff scientist at the lab of Dr. Titus Brinker, focusing on uncertainty estimation and explainability in the clinical application of machine learning models for dermatology and histopathology. His research interests include uncertainty estimation and probabilistic modelling in machine learning, evaluating and assuring robustness of machine learning systems to changing conditions, and research into causal ML.