I am a PhD student in computational neuroscience at the University of Tübingen and Max Planck Institute for Biological Cybernetics. I started my scientific journey as a double-major bachelor student of physics and biomedical engineering and then moved to neuroscience for my master and PhD.
My research lies at the intersection of systems and computational neuroscience. I am generally interested in understanding how animals adaptively learn to modify their behavior according to environmental demands and its underlying biological machinery. For this purpose, I develop data analysis methods and computational models (inspired by physics, machine learning and artificial intelligence approaches) to link neural dynamics to brain computation and behavior.
Shervin Safavi and I are organizing an exciting workshop at the Bernstein Conference on “Computation across scales in brain and beyond” which brings together a broad group of computational and experimental neuroscientists studying distinct types of computation from the level of single neurons to the whole brain and even brain-body interactions.
I was invited to give a talk at the 2024 INSPIRE Symposium, WashU, about our work on adaptive neural timescales during selective attention. It was super exciting to interact and learn from other INSPIRE speakers and the lively neuroscience community at WashU, highly recommend it!
I gave a contributed talk at Cosyne 2024 main meeting about our recent work on how different learning curricula give rise to distinct mechanisms for performing long-memory tasks. You can watch the recorded video from the link above.