Research Profile

My research focuses on philosophical issues regarding the use of machine learning (ML) in scientific practice, including what concepts of novelty best characterize how ML contributes to scientific knowledge. I also research challenges of reliability in scientific discovery with ML, such as how scientists justify inductive assumptions regarding model transfer. I have relevant publications and several conference contributions in philosophy of science and AI ethics.

I am a PhD candidate in philosophy. I have a mixed disciplinary background in the sciences and the humanities.

Other relevant experience:

From 2025-2026, I was a guest researcher in the Ethics & Philosophy Lab, part of the Cluster of Excellence: ML for Science (Eberhard Karls Universität Tübingen), supported by the German Academic Exchange Service (Deutscher Akademischer Austauschdienst).

I developed core competancies in AI Ethics at the AI + Data Ethics (AIDE) Summer Training Program (2023) at Northeastern University (Boston).

I am grateful for supervision and mentorship from Chris Smeenk. I also appreciate mentorship from Thomas Grote and Kathleen A. Creel. I am indebted to Donal Khosrowi (Leibniz University Hannover) and Tom Sterkenburg (MCMP) for the guidance I received during research visits.