Minseok Kang is a doctoral student in applied computer science with eight years of research and teaching experience at German institutions including Ruhr-Universität Bochum and Universität Osnabrück. His work bridges cognitive science and computational neuroscience—ranging from simulating Hodgkin-Huxley and spiking recurrent neural networks to developing scenario-reduction algorithms for autonomous driving. He has supported and designed coursework in data analysis and computational cognition, blending pedagogy with hands-on implementation. Based in Osnabrück, Minseok combines rigorous academic training (BSc/MS in Cognitive Science) with applied CS research, often focusing on how neural dynamics and heterogeneous delays affect information processing. An inquisitive collaborator, he brings both simulation-heavy modeling skills and practical algorithm implementation to interdisciplinary teams.
8 years of coding experience
1 year of employment as a software developer
Applied computer science, Applied computer science at Ruhr University Bochum
Bachelor of Science - BS, Cognitive Science, Bachelor of Science - BS, Cognitive Science at Universität Osnabrück
Contributions:6 commits, 5 pushes, 1 branch in 7 months
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Minseok Kang - Doctoral Student at Ruhr-Universit��t Bochum