I am a postdoctoral researcher at the Technical University of Munich working with Julijana Gjorgjieva. Currently, I study the computational roles of different top-down feedback pathways in sensory cortices, combining normative and data-driven modeling approaches.
I did my PhD with Friedemann Zenke at the Friedrich Miescher Institute where I studied how inhibitory microcircuits enable learning and credit assignment in biological networks. In parallel, I worked on end-to-end training of spiking neural networks (SNNs) with surrogate gradients and explored their applications, e.g., in neural decoding.
Earlier, 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 often put on an apron and experiment in the kitchen.
