Jeanne Parmentier (1995) graduated from the University of Compiègne (France) in Biology, Biomechanics and Biomaterials engineering (2018). During her studies, she conducted research on equine and ovine biomechanics, including motion capture, inertial sensors and forceplate analysis. She then worked as a research engineer within the CWD-VetLab (Ecole Nationale Veterinaire d’Alfort) and in collaboration with the CIRALE (France) to develop an inertial sensors based tool to quantify horses locomotion.

She is currently a PhD candidate from the Utrecht University, Faculty of Veterinary Medicine and the University of Twente, Pervasive Systems group. Her PhD focuses on bringing useful information to vets during locomotion evaluations to improve horses welfare, by combining sensor data (e.g. IMU, microphone, sEMG...) and machine/deep learning techniques (e.g. SVM, CNN, LSTM). This information can include locomotion and physiological analyses (e.g. heart rate, breathing rate), context detection (e.g. surface), and ultimately (early) lameness detection. Apart from her enthusiasm for data and animal research, Jeanne enjoys horse-riding, food and traveling around the world (best when combined).