
معرفی
Jason P. Smith is a Senior Lecturer in Mathematics within the Department of Physics and Mathematics at Nottingham Trent University. His research bridges combinatorics, algebraic topology, and neuroscience, focusing on the application of topological data analysis to understand neural connectivity and brain function.
His educational background includes a Ph.D. in Computer and Information Science from the University of Strathclyde (2012–2015), supervised by Einar Steingrímsson, and an MMath from the University of Bath (2008–2012).
Smith's research interests center on combinatorics, particularly permutation patterns and posets, and algebraic topology, especially persistent homology and directed flag complexes. He applies these mathematical tools to neuroscience, modeling cortical connectivity and neural coding strategies. His work often involves developing computational methods for analyzing complex networks.
The recent publications reflect a strong trend toward interdisciplinary research combining topology, combinatorics, and neuroscience. His work explores how the structure of neural networks influences information processing, using tools like tournaplexes and flag complexes to extract topological features from connectomic data.
He has developed several open-source software packages including Tournser, Flagser-count, and Deltser, which are used for computing persistent homology in directed networks. He previously held research positions at the University of Aberdeen (2018–2020) and the University of Strathclyde (2015–2018), working on topological analysis of neural systems and combinatorial algebraic topology. No formal advising of students is listed, nor are any grants or scientific awards mentioned in the provided text.
Smith is actively involved in the neurotopology research community and contributes to computational tools for topological data analysis in neuroscience. He is part of collaborative projects involving institutions such as the University of Aberdeen and international neuroscience initiatives.





