I am a Royal Society Newton International Fellow at the Computational and Biological Learning Lab (CBL) at the University of Cambridge, where I am collaborating with Máté Lengyel and Yashar Ahmadian. I obtained a Ph.D. at the Max Planck Institute for Brain Research (MPIBR) and the Frankfurt Institute for Advanced Studies (FIAS), working with Julijana Gjorgjieva and Jochen Triesch, respectively.

In my research, I try to understand how neural circuits develop and operate. For this I use theoretical and computational methods to investigate models of biological neural networks that contain inhibitory neurons. During my Ph.D., I demonstrated how recurrent networks with rich computational functions can emerge from realistic plasticity mechanisms. Currently, I am working on generalising these models to memory circuits in the hippocampus.

See my CV and past research projects for additional details.