I am a PhD student in philosophy of (social) science and machine learning, a member of the research group Ethics and Epistemology of Machine Learning in the Cluster of Excellence ‘Machine Learning for Science,’ University of Tübingen, and part of the International Max Planck Research School for Intelligent Systems (IMPRS-IS).

I am supervised by Konstantin Genin, Wolfgang Spohn, and Bob Williamson. From September to December 2025, I am at the University of Groningen for a research visit with Jan-Willem Romeijn.

Research

Topics: algorithmic fairness; causal inference; philosophy of social science; statistics and machine learning

I work on methods for the evaluation of algorithmic policies, performativity in algorithmic fairness, and problems of evidence-based policy and philosophy of (social) sciences as they arise in machine learning.

Education

I hold MScs in Philosophy of the Social Sciences (LSE, 2020) and in Psychometrics, Econometrics, and Machine Learning (University of Tübingen, 2023) as well as a BA in Philosophy & Economics (University of Bayreuth, 2019).

Volunteering and community work

Together with the philosophy groups at the Machine Learning Cluster, I have organized the “Philosophy of Science meets Machine Learning” conferences in 2023 and 2024.

Alongside my academic work, I am a volunteer with CorrelAid and have served as chair of the board from 2022 to 2024. CorrelAid empowers non-profits to use data in a critical and reflective way to achieve their goals, while enabling effective engagement for volunteers in Data4Good.