Teaching
I hold an ASPIRE Fellowship and a PGCertHE from the UK Higher Education Academy. My teaching spans philosophy of AI, epistemology, data ethics, and decision theory, at Masters and undergraduate levels.
Current courses at TUM
All modules are available to students in the Science and Technology Studies and RESET Masters programmes, as well as outside options to students from other Masters programmes across TUM.
Advanced seminar exploring the nature, value, and governance of information in digital environments, with attention to epistemological and ethical dimensions.
Examines how social structures and technologies shape knowledge production, distribution, and belief formation at the collective level.
Investigates the philosophical foundations of automated decision systems, including recommender systems, predictive algorithms, and AI agents.
Previous — University of Exeter
A flagship Masters module available to students across Data Science, Statistics, Computer Science, Sociology, and Philosophy. Designed and coordinated from the ground up.
An accessible introduction to the philosophical questions raised by AI systems: intelligence, agency, responsibility, bias, and the future of human-machine interaction.
Previous — Oxford & LMU Munich
Designed and delivered for final-year doctoral students in the Centre for Doctoral Training in Industrially Focused Mathematical Modelling, Mathematical Institute, University of Oxford (2021).
Lecture stream at the 2019 MCMP Summer School on Mathematical Philosophy for Female Students, LMU Munich.
Guest lecturer.
Student supervision
I have experience with supervising undergraduate dissertations in Philosophy (Oxford and Exeter) and MSc theses (Oxford). I welcome enquiries from prospective Masters and doctoral students working in the areas of AI ethics, philosophy of technology, and epistemology.