Brains, Biomarker & Cognition

🧠 Exploring the intricacies of the human brain through electrophysiology, imaging, and machine learning is my passion. I channel this enthusiasm towards the development of biomarkers and next generation therapeutics. In my current role at Roche Pharma Research & Early Development in Basel, I apply my expertise to assess the impact of novel compounds on brain dynamics and clinical outcomes, utilizing the knowledge, tools, and resources resulting of my research.

🖥️ ⚙ Previously, at Inria in Saclay-Île-de-France/Paris, I pioneered machine learning approaches bridging the gap between the laboratory and the real-world applications.

Latest Publications

Title	Links
Machine learning of brain-specific biomarkers from EEG
Variable Importance in High-Dimensional Settings Requires Grouping
Statistically Valid Variable Importance Assessment through Conditional Permutations
Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory study
Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling
A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility