Eva Josse
Doctoral Researcher at Singapore-ETH Centre
Singapore
Summary
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Senior🎓
Top SchoolEva Josse is a doctoral researcher based in Singapore with eight years of experience applying machine learning to healthcare and rehabilitation, particularly in predicting post-stroke and multiple sclerosis recovery using multimodal clinical data. Trained in physics (EPFL), she blends rigorous experimental design and signal-processing expertise with clinical validation to develop digital biomarkers and decision-support tools for upper-limb sensorimotor impairments. Her work spans from wearable EEG mental-state recognition prototypes to deep-learning image classification for astrophysics, showing a knack for translating data-driven models into real-world, non-data-driven domains. Curious and interdisciplinary, she pairs precise modeling with a clinician-centered perspective and a persistent interest in the ocean’s complexity, reflecting an appetite for exploring systems both biological and natural.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Applied Physics, Master's degree, Applied Physics at Ecole polytechnique fédérale de Lausanne
French, English, Italian
Github Skills (15)
acc8
health8
digital-signal-processing7
wearables7
parameter-estimation7
eda5
bayesian-inference5
python5
mhealth5
android5
machine-learning5
simulation5
pytorch4
inference3
ai3
Programming languages (2)
Github contributions (5)
im-ethz/TNN-analysis
Nov 2020 - Feb 2023
Contributions:400 commits, 11 pushes in 2 years 3 months
evavanweenen/u-net
Mar 2021 - Mar 2021
Contributions:23 commits, 10 pushes, 1 branch in 8 days
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