Jack Sykes is a prominent researcher at the CDT for Topological Design and the Positron Imaging Centre, where he expertly combines tools like Positron Emission Particle Tracking (PEPT), Magnetic Particle Tracking, Discrete Element Method (DEM), Monte Carlo simulations, and Topological Data Analysis (TDA) to address global challenges in particle tracking and particulate property analysis across medical and industrial applications. His notable contributions include developing a topology-based PEPT algorithm using persistent homology and a TDA pipeline for MRI brain scan analysis, enhancing diagnostic approaches for conditions such as epilepsy. Sykes has collaborated extensively with industry giants, including the US chemical company FMC on IP-sensitive material characterisation, AstraZeneca on DEM model refinement, and Recycling Technologies on improving waste plastic pyrolysis systems through Fast X-ray imaging comparisons. Additionally, his work with the British Heart Foundation on blood flow and cancer metastasis tracking projects showcases his broad impact. Sykes’s leadership skills are evident as he chaired the Mini-Symposium at the German Association for Computational Mechanics and co-hosted workshops on advanced computational techniques. His participation in the UoB Medici Training Programme has equipped him with vital entrepreneurship skills and business acumen, enhancing his ability to translate complex research into viable business solutions. His role in compiling a significant document for Rolls Royce, reflecting his deep understanding of industrial applications and AI/ML integration, further underscores his capacity to translate complex research into practical solutions. Proficient in Python, Julia, Paraview, and Blender, Jack Sykes continues.
