Benjamin Castellaz

Benjamin Castellaz is a Research Assistant and doctoral candidate at the Institute for Stochastics and Applications, University of Stuttgart, specializing in mathematical modeling of cellular systems with emphasis on inverse uncertainty quantification and stochastic inverse problems.

His academic journey includes a B.Sc. and M.Sc. in Simulation Technology from the University of Stuttgart (with a year at the University of Toronto), followed by an MSc in Mathematical Modelling and Scientific Computing from the University of Oxford.

• Doctoral Studies (2024-present): University of Stuttgart
• MSc Mathematical Modelling and Scientific Computing (2023-2024): University of Oxford
• M.Sc. Simulation Technology (2020-2023): University of Stuttgart (including University of Toronto)
• B.Sc. Simulation Technology (2017-2020): University of Stuttgart

Castellaz's research integrates stochastic modeling, inverse problems, and uncertainty quantification to address challenges in systems biology. His work develops computational frameworks for parameter inference in high-variability biological data, contributing to the understanding of cellular dynamics through rigorous mathematical approaches.

His two recent publications (2022, 2024) in computational science and bioinformatics journals demonstrate a cohesive research trajectory focused on advancing methods for stochastic inverse problems, with applications in modeling biological systems.

No scientific awards were listed in the available information.

He has served as a Teaching Assistant for Mathematical Statistics and Systems Theory in Systems Biology courses. There is no mention of research grants or student advising.

Castellaz is affiliated with the Institute for Stochastics and Applications at the University of Stuttgart, but specific laboratory or team structures were not detailed.