My name is Daniel Müller-Komorowska and I am a postdoctoral scholar in the Neural Coding and Brain Computing Unit at the Okinawa Institute of Science and Technology. I simulate healthy and perturbed spiking neuronal networks to find out why they break and how to repair them. To this end I analyze the simulations with simulation-based inference. My main focus is on epilepsies and pattern separation.

During my PhD research at the University of Bonn I recorded and analyzed electrical signals from hippocampal neurons. I used Python with NumPy, SciPy and Pandas to analyze these neuronal time-series data. I used Matplotlib and Seaborn for data visualization. I also used dimensionality reduction and clustering with scikit-learn, scanpy and R on single cell sequencing data. Finally, I have simulated spiking neuronal networks with NEURON and artifical neural networks with PyTorch.