Research in Psychology, Neurophysiology, Data Science
I am a researcher at the French National Institute of Computer Science (INRIA) and a certified psychologist, working and living in Paris.
My goal is to tackle brain disorders by combining cognitive neuroscience and machine learning. I have specialized in large-scale data analysis and predictive modeling with electrophysiology (EEG, MEG) in neurology. A central part of my work is about orchestrating the study of neuronal dynamics with development of domain-sensitive biomarkers, statistical methods and computational algorithms for effective learning from brain data.
What brought me here is inpsiration drawn from social cognition research which I have been studying since my undergraduate days and which has profoundly shaped my view of science and society. The research of tomorrow will be increasingly interdisciplinary and cooperation-driven. I therefore keep investing in the social infrastructure of science by openly developing and disseminating academic software for data analysis, building on top of the freely available open source programming languages Python and R.
PhD in Psychology, 2015
University of Cologne, Germany
Diploma in Psychology, 2010
University of Gießen, Germany
Coding, mentoring and dissemination for the
ML/AI controled drug-dosage during anesthesia.
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic’s Markdown slides feature. Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). -- For a discussion of the neurophysiologicla implications, please consider the companion article by Rodika Sokoliuk and Damian Cruse Should you have no time to read the paper, this twitter thread gives you the gist: