About
I am a PhD student in the field of mathematics with applications to cognitive sciences under the supervision of Nihat Ay. I study models of perception, action selection and consciousness using information and probability theory, and in particular Bayesian networks.
Before, I studied mathematics at the University of Cambridge (Part III) and liberal arts and sciences at University College Utrecht.
Publications
- A Concise Mathematical Description of Active Inference in Discrete Time
with: Carlotta Langer, Nihat Ay
arXiv:2406.07726 - On the Fisher-Rao Gradient of the Evidence Lower Bound
with: Nihat Ay
ICML Workshop Duality Principles for Modern Machine Learning 2023
arXiv:2307.11249 - Inversion of Bayesian Networks
with: Peter van Hintum, Nihat Ay
International Journal of Approximate Reasoning. Elsevier. 2023 10.1016/j.ijar.2023.109042. arXiv:2212.10649 - Invariance properties of the natural gradient in overparametrised systems
with: Johannes Müller, Nihat Ay
Information Geometry. Springer. 2022.
doi:10.1007/s41884-022-00067-9 arXiv:2206.15273 - Bures-Wasserstein geometry for positive-definite Hermitian matrices and their trace-one subset
Information Geometry. Springer. 2022.
doi:10.1007/s41884-022-00069-7 arXiv:2001.08056
Activities
Upcoming
- GSO2025: Guided Self-Organization: Machine Learning in Embodied Agents. Tübingen, Germany. February 2025.
Past
- The Active Self. Working group on the self, artificial intelligence and consciousness at the Sante Fe Institute, March 2024. (organizer)
- Santa Fe Institute summer school on “Intelligence & Representation” in Cambridge UK, August 2023.
- IG4DS: Information Geometry for Data Science, Hamburg, Germany. September 2022.
- MoC3: Models of Consciousness, Stanford, USA. September 2022.
- WUPES ‘22: The 12th Workshop on Uncertainty Processing, Kutna Hora, Czech Republic. June 2022.
- Conference on Mathematics of Machine Learning, Bielefeld, Germany. August 2021
- GSI 2021: International Conference on Geometric Science of Information, Paris, France. June 2021.