
About
Dr. Alf Gerisch is a Senior Lecturer at the Department of Mathematics, Technical University of Darmstadt, where he leads the Numerical and Scientific Computing Group. His research focuses on mathematical modeling, numerical simulation, and analysis of biological, material, and natural science processes, particularly in tumor models, cell adhesion, bone fracture healing, and multiscale mechanical properties of tissues. He has organized and contributed to numerous international conferences, including ENUMATH2025 and ECMTB 2024. His work integrates advanced numerical methods like peer time integration schemes and uncertainty quantification, with applications in biomedical systems and soft matter.
- Education: Ph.D. in Numerical Analysis (2001, University of Halle-Wittenberg), M.Sc. in Applied Mathematics (1997, University of Dundee).
Research Interests: Dr. Gerisch advances numerical methods for taxis-diffusion-reaction systems, develops computational frameworks for uncertainty quantification, and models biological processes such as tumor invasion and cell migration. His projects include leadership of the DFG-funded Multiscale structure-functional modeling of musculoskeletal mineralized tissues (2009–2016) and membership in SFB Transregio 154 and 146.
Publications: Over 50 peer-reviewed articles, including contributions to journals like Journal of Computational Physics, Bulletin of Mathematical Biology, and Computer Methods in Biomechanics and Biomedical Engineering. Recent work explores nonlocal models of cell adhesion and data-driven approaches for gas networks.
- Teaching: Offers courses in numerical linear algebra, mathematical biology modeling, scientific programming, and finite element methods. Consultation hours via Zoom during lecture weeks.
- Grants & Projects: Co-led DAAD-funded research visits to India (2017), and collaborates internationally on biomechanical and computational biology initiatives.
Labs/Teams: Active in the Numerical Analysis and Scientific Computing research group, contributing to the Kardos adaptive Finite Element software and the asymptotic homogenization framework for composite materials.
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