Eva JOSSE

Eva is a PhD researcher in the Connected Rehabilitation Technology and Assistive Devices module of the Future Health Technologies programme at the Singapore-ETH Centre since March 2022.

Her research focuses on the development, validation, and clinical application of digital health technologies and biomarkers for the assessment of upper limb sensorimotor impairments post-stroke. She is particularly interested in implementing predictive models to improve prognosis estimates in rehabilitation and to support personalized therapy.

Originally from France, Eva did her studies in Switzerland, at EPFL.

During her master, she developed an interest for artificial intelligence. For instance, she worked for Logitech and used XGBoost to detect mental states based on EEG data. She also employed deep learning to classify images of galaxies according to their morphologies. Afterwards, she did an internship at the RELab (ETH-Zürich) to predict rehabilitation outcomes in multiple sclerosis with machine learning. Since then, she decided to focus on the field of rehabilitation and robotics.

Education

• Msc in Applied Physics (2020), EPFL (Ecole Polytechnique Fédérale de Lausanne), Lausanne, Switzerland
• BSc in Physics (2018) EPFL (Ecole Polytechnique Fédérale de Lausanne), Lausanne, Switzerland

Social Media

• LinkedIn: external page Eva Josse