I am a PhD student in philosophy of (social) science and machine learning in the Cluster of Excellence ‘Machine Learning for Science,’ at the University of Tübingen and the Faculty of Philosophy at the University of Groningen. I am also a member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS).

Research

philosophy of (social) sciences; algorithmic fairness; ethics of AI; causal inference; philosophy of statistics and machine learning

I work on 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.

I am supervised by Konstantin Genin, Wolfgang Spohn, Jan-Willem Romeijn, and Bob Williamson.

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.