Stephan Grein

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location_icon Endenicher Allee 64, 53115 Bonn, Germany

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Short CV

Stephan Grein has been working as a postdoctoral researcher at the LIMES institute since June 2021 focusing on metaflammation. Previous studies include Bioinformatics and obtaining a master's and bachelor's degree by Goethe-University in Frankfurt/Main. Lately he was awarded a Ph.D. degree in Applied Mathematics by Temple University, Philadelphia, PA in December 2020 working on the detailed modelling and simulation of intracellular ion-dynamics in neurons linked to synaptic plasticity and learning processes by developing novel hybrid-dimensional and multi-scale models as well as novel hierarchical mesh generation techniques for neurons applicable to multigrid methods for the efficient numerical simulation of the developed models on high-performance computing infrastructure.

Research interests

numerical modeling and simulation, high performance computing, parallel programming, inflammation and cancer biology, synaptic plasticity and intracellular ion-dynamics, computational neuroscience, ODEs, PDEs, mixed-compute infrastructure (CPU/GPU)

Selected publications

(2021) C. Mertens, M. Schnetz, C. Rehwald, S. Grein, E. Elwakeel, A. Weigert, B. Brüne, M. Jung. Iron-Bound Lipocalin-2 from Tumor-Associated Macrophages Drives Breast Cancer Progression Independent of Ferroportin: Metabolites 18(3)
(2020) S. Grein, G. Qi, G. Queisser. Density Visualization Pipeline: A Tool for Cellular and Network Density Visualization and Analysis: Front Comput Neurosci. 14
(2020) Z. Li, A. Biswas, J. Finkelstein, S. Grein, Y. Kapoor, M. Milewski, G. Queisser. Modelling Drug Absorption from the Dermis after an Injection. Journal of Pharmaceutical Sciences 110(3)
(2017) C. Mertens, J. Mora, B. Ören, S. Grein, S. Winslow, K. Scholich, A. Weigert, P. Malström, C. Forsare, M. Fernö, T. Schmidt, B. Brüne, M. Jung. Macrophage-derived lipocalin-2 transports iron in the tumor microenvironment: Oncoimmunology 7(3)
(2016) M. Breit, S. Stepniewski, S. Grein, P. Gottmann, L. Reinhardt, G. Queisser. Anatomically Detailed and Large-Scale Simulations Studying Synapse Loss and Synchrony Using NeuroBox: Front Neuroanat. 10(8)
(2014) S. Grein, M. Stepniewski, S. Reiter, M.M. Knodel, G. Queisser: 1D-3D Hybrid Modelling - From Multi-Compartment Models to Full Resolution Models in Space and Time: Front Neuroinform. 8(68)
(2012) S. Wolf, S. Grein, G. Queisser. Employing NeuGen 2.0 to Automatically Generate Realistic Morphologies of Hippocampal Neurons and Neural Networks in 3D: Neuroinformatics 11(3)

Projects

(with Jan Hasenauer) Metaflammation and cellular programming in the SFB 1454

Tools

(with Benjamin Seibold) NEURO-VISOR - a virtual reality application for modelling, simulation and interaction https://c2m2.cst.temple.edu/ and https://github.com/c2m2/Neuro-VISOR
(with Gillian Queisser) NeuGen - a neural network generator for application in high-performance computing https://github.com/NeuroBox3D/NeuGen
(Main developer) NeuroBox - a extendible visual programming toolbox for hybrid and multi-scale modelling and simulation in computational neuroscience http://neurobox.eu/ and https://github.com/NeuroBox3D/neuro_collection
(Contributor) UG4 - a simulation framework for high-performance computing solving differential equations on unstructured finite element grids https://github.com/UG4

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