معرفی
Rüdiger Thul is an Associate Professor in Applied Mathematics in the School of Mathematical Sciences at the University of Nottingham. He has been with the University since 2006, progressing from EPSRC postdoctoral research fellow to his current position as Associate Professor since 2018.
His educational background includes:
- PhD, Hahn-Meitner Institute, Berlin, Germany (2005)
- MSc, Phillips-University, Marburg, Germany (2001)
- BSc, Phillips-University, Marburg, Germany (2000)
Rüdiger's research sits at the applied end of Applied Mathematics and is driven by questions in psycholinguistics, cognitive psychology, and cell biology. His interdisciplinary work spans multiple fields including nonlinear dynamical systems, stochastic processes, partial differential equations, statistical physics, network science, and statistical inference. He develops mathematical, statistical, and computational models to address key questions in reading behavior, language change in networks, and intracellular calcium dynamics. His research has been supported by prestigious organizations including the Leverhulme Trust, EPSRC, BBSRC, Wellcome Trust, and British Council.
His recent publications show a strong trend toward interdisciplinary research, bridging mathematics with cognitive science and biology. His work on psycholinguistics has focused on understanding reading behavior through eye-tracking and response time analysis, while his cellular biology research has examined calcium dynamics in cardiac cells and neurons. The mathematical techniques he employs range from nonlinear dynamical systems and network science to advanced statistical methods for analyzing complex biological and cognitive data.
Rüdiger has been awarded research funding from:
- Leverhulme Trust (as a Leverhulme Early Career Fellow, 2009-2011)
- Engineering and Physical Sciences Research Council (EPSRC)
- Biotechnology and Biological Sciences Research Council (BBSRC)
- Wellcome Trust
- British Council
He has supervised numerous PhD students and postdocs, with a current cohort working on diverse topics including AI-based decoding of neural activity, language processing in bilinguals, modeling formulaic language, and language dynamics in networks. His teaching portfolio includes courses on Machine Learning for Engineers, Mathematical Medicine and Biology, and Practical Biomedical Modelling.
Rüdiger leads an interdisciplinary research group that combines mathematical modeling with experimental data from cognitive psychology and cell biology. His team develops novel computational approaches to analyze complex systems, with particular expertise in nonlinear dynamics, network analysis, and statistical modeling of biological and cognitive processes.
