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Personal profile

Personal Statement

Maisie Keogh is a Research Assistant in the Department of Biomedical Engineering. She is also in the submission stage of her PhD and is supervised by Professor Philip Rowe and Dr Andrew Kerr. She assists in the management of the Sir Jules Thorn Centre for the Co-Creation of Rehabilitation Technology. Her research focuses on the development and evaulation of a fusion of motion capture and IMU technology. The aim of this research is to improve the quality of data capture and enhance existing biomechanical models of human motion.


Research Interests

Stroke Rehabilitation. The development of accessible and cost-effective interventions for stroke survivors with a focus on the lower limbs and gait analysis.

Computational Modelling. The use of CAD and finite element analysis to anaylse the biomechanical properties of the lower limbs in a range of pathologies.


Teaching Interests

Gait Analysis, Rehabilitation Technology and Biomechanics.

Academic / Professional qualifications

Maisie is an Associate Fellow of the Higher Education Academy.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 10 - Reduced Inequalities

Education/Academic qualification

Master in Science, Computational models of blood flow in abdominal aortic aneurysms, University Of Strathclyde

10 Sept 20189 Sept 2019

Award Date: 5 Nov 2019

Bachelor of Science, Chemistry, University of Glasgow

16 Sept 201318 Sept 2017

Award Date: 9 Nov 2017

External positions

Secretary of Special Interest Group, Institute of Physics and Engineering in Medicine

1 Aug 20231 Aug 2025

Project Manager, Association of British Science Writers.

31 Jan 20231 Aug 2024


  • Stroke
  • Biomechanics
  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Chemistry
  • Rehabilitation
  • Assistive Technology
  • Motion Capture


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