Brains, Biomarker & Cognition

I study the human brain using electrophysiology, imaging and machine learning to develop biomarker in next generation therapeutics and diagnostics.

In my current role at the Roche Pharma Research & Early Development in Basel, I work on assessing the impact of novel compounds on brain dynamics and clinical outcomes by applying knowledge, tools and resources resulting from my research.

Previously, at Inria (Saclay-Île-de-France / Paris), I have developed machine learning aproaches for bridging laboratory and real-world neuroscience.

My initial training is in experimental psychology & neuroscience.

Latest Publications

Title	Links
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
A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging
Brain age as a surrogate marker for cognitive performance in multiple sclerosis