I recently completed my PhD in Computational Neuroscience with Friedemann Zenke at the Friedrich Miescher Institute. I work at the NeuroAI interface and my research focuses on mechanistically grounded learning in biological and artificial networks.

Currently, I study how inhibitory microcircuits enable learning and credit assignment. In parallel, I work on end-to-end training of spiking neural networks (SNNs) with surrogate gradients and explore their applications, e.g., brain–computer interfaces (BCI).

Previously, I worked with Richard Naud and Katalin Tóth (University of Ottawa) on computational models of short-term plasticity, and with Tom Wilderjans (Leiden University) on model selection for overlapping clustering.

When I’m not absorbed by research, you’ll likely find me outdoors. My passions include hiking, rock climbing, and bikepacking. When confined to the indoors by uncooperative weather, I like to don an apron and experiment in the kitchen.