Regular biography
Christian Angstmann is a researcher in the field of mathematical modeling, with a focus on the application of fractional calculus and stochastic processes to understand complex biological and physical systems. His work spans a wide range of topics, including anomalous diffusion, reaction-subdiffusion processes, and the modeling of infectious diseases using fractional-order models. Angstmann has made significant contributions to the development of numerical methods for solving fractional differential equations, particularly through the use of continuous-time random walks (CTRW) and their connection to fractional Fokker-Planck equations. His research has been published in numerous high-impact journals, including *SIAM Journal on Applied Mathematics*, *Journal of Computational Physics*, and *Physica A*. Angstmann is affiliated with the University of New South Wales (UNSW) in Sydney, Australia, where he has been actively involved in both academic research and teaching. His work has also been recognized through various grants and collaborations with experimental groups, particularly in the areas of biophysics and molecular biology. Overall, Angstmann's research bridges the gap between theoretical mathematics and applied science, with a strong emphasis on understanding and modeling complex systems in biology and physics.
Scholar-generated biography
Christopher Angstmann is a researcher at the University of New South Wales, specializing in Random Walks, Pattern Formation, Anomalous Diffusion, Biomathematics, and Fractional Calculus. His work explores the mathematical modeling of complex systems, including the development of fractional-order models for infectious diseases and the analysis of stochastic processes in biological contexts. Angstmann's research also investigates the dynamics of pattern formation in early HIV infection and the behavior of reaction-subdiffusion equations on evolving domains. His contributions span both theoretical and applied aspects of fractional calculus, with a focus on advancing numerical methods for solving fractional differential equations.