Currently, I am a Research Scientist at Yahoo’s DSP, where I apply machine learning to large-scale advertising systems. Day to day this means building and maintaining ML pipelines with AWS SageMaker and Apache Airflow, analysing data at scale. It is a role that keeps you close to the full stack, from data to deployment.

Before Yahoo, I was a Senior Specialist at PD - Berater der öffentlichen Hand GmbH, advising the German public sector on AI adoption and strategy.

My research background is in machine learning theory. My PhD focused on fairness in machine learning — how automated decision-making affects people’s lives, and whether large-scale systems can be designed to treat groups of individuals fairly. Given how widely ML is deployed today, I find the question more relevant than ever.

I completed my PhD at the Theory of Machine Learning group at the University of Tübingen, supervised by Prof. Dr. Ulrike von Luxburg.