Research Focus

My research is centered around automated machine learning (AutoML) and related topics such as algorithm selection, ensemble construction, self-supervised learning and active learning. I am particularly interested in the combination of self-supervised learning with active learning methodologies in partially labeled settings, to sample the most informative data instances to improve performance on a given task.