NEWS My PhD is over and I started looking for jobs. Feel free to contact me.
NEWS Paper accepted at NeurIPS 2022. Read it here!
Currently, the main topic of my PhD is fairness in machine learning which considers the impact of automated decision-making on human lifes. In order to make sure good decisions are made, everyone applies some notion of fairness to a large-scale decision-making system, in particular, when these decisions change people’s lives. I study decision-making systems, which aim to be fair to groups of individuals, and I focus on investigating their fairness properties.
I have also studied Comparison-based learning, where we are not given representations of data points, but we know for three items A, B, C if item A is closer to item B or closer to item C.
In October 2017, I started my PhD in the Theory of Machine Learning group (TML) supervised by Prof.Dr. Ulrike von Luxburg at the University of Tübingen. I am a scholar in the International Max Planck Research School for Intelligent Systems (IMPRS-IS), a graduate school by both the universities and Max-Planck-Institutes in Tuebingen and Stuttgart.
Ph.D. in Machine Learning, starting 2017
University of Tübingen
MSc in Mathematics and Economics, 2017
University of Cologne
BSc in Mathematics and Economics, 2014
University of Cologne