J.I.M. (Jeanne) Parmentier

MSc. Eng. PhD-c

Jeanne Parmentier (1995) graduated in 2018 from Biology Engineering at the Université de Technologie de Compiègne (France). Her Bachelor‘s (France) and Master’s (Texas, USA) research projects focused on developing measurement tools and algorithms to gather biomechanical information from horses and sheep inertial measurement units, 3D motion capture, and force plate data.

Once her diploma was obtained, she was hired as a research engineer by the École Nationale Vétérinaire d’Alfort (France) and worked in close collaboration with the CIRALE in Normandie to develop an equine locomotion quantification tool.

In 2019, she moved to the Netherlands to start a PhD track with the Pervasive Computing Group from the University of Twente and the Clinical Sciences Department of the Utrecht University Veterinary Faculty.

Her research focuses on using wireless sensor networks combined with machine and deep learning techniques to bring more information to the different stakeholders during equine locomotion evaluations, including kinetic and kinematic analyses, context detection, and lameness detection.