Dr Peyman Shadmani (he/him)

Peyman is a Research Fellow at the University of Exeter Medical School, where he works on the Stepping Out project. His research focuses on applying mathematics, computation, and data-driven approaches to biological and medical questions, with particular interests in mathematical modelling, biomechanics, computer vision, and AI/ML in health research.

Peyman studied Mechanical Engineering at K. N. Toosi University of Technology before completing an MSc in Biomechanics at Sharif University of Technology. After three years teaching mathematics and conducting research in continuum mechanics and molecular dynamics, he moved into interdisciplinary research at the interface of physics, mathematics, and biology. He completed his PhD in Physics in 2024 at the Living Systems Institute, University of Exeter, where his research focused on the mathematical modelling of phagocytosis.

Following his PhD, Peyman continued to develop interdisciplinary approaches in biology and medicine. He undertook a two-year postdoctoral role with David Richards at the Living Systems Institute, where he worked on mathematical modelling related to the first week of life and early embryogenesis. He has also contributed to collaborative research applying AI and machine learning to computer vision problems in microglial cell shape recognition, working with Kate Harris at Newcastle and Ian Wood in Leeds.

In his current role on the Stepping Out project, Peyman is working towards establishing ground truth measures of falls in older adults. This research is closely connected with collaborators in Sport Sciences and with teams working with people with Parkinson’s, with the broader aim of improving health outcomes and quality of life.