Development of data exploration, machine learning, and explainability models aimed at understanding and accurately predicting early unfavorable outcomes in stroke.

Knowledge extraction froma medicale-learning platform and supervision of three interns on MCQ generation, ranking and evaluation using LLMs.

Data mining to understand the link between emotions and neurophysiology in humans.

Developed chemoinformatics and machine learning models for electronic nose odor recognition.

fMRI analysis to study olfactory perception through exceptional attributed subgraphs mining.

Modeling metabolic networks by manipulating oriented hypergraphs.

Project and team management, ergonomics, hardware architecture selection and database management.

Participation in customer interviews, database management, specifications writing and functional tests.