Summary
Daniel Müller-komorowska is a postdoctoral researcher at OIST with a PhD in Neuroscience from the University of Bonn and a decade of experience probing hippocampal memory, spatial navigation and reinforcement learning through spiking neural network models. He combines hands-on electrophysiology and intracellular recordings with production-grade data engineering—building pipelines and analyzing neuronal time-series using Python, R and dimensionality-reduction toolkits—to turn noisy biological data into testable computational hypotheses. His toolset spans NEURON simulations and PyTorch for model work, scikit-learn/scanpy for single-cell analyses, and visualization with Matplotlib/Seaborn, reflecting fluency from low-level signal processing to large-scale modeling. Based in Okinawa, he also brings cross-domain curiosity in climate solutions, having contributed code to deployable decarbonization tools, which complements his translational focus on brain disorders.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, PSYCHOLOGY, Bachelor of Science - BS, PSYCHOLOGY at University of Cologne
PhD (Dr. rer. nat.), Neuroscience, magna cum lauda (0.9), PhD (Dr. rer. nat.), Neuroscience, magna cum lauda (0.9) at The University of Bonn
English, German