معرفی
Johann Faouzi is an Assistant Professor of Computer Science at École Nationale de la Statistique et de l'Analyse de l'Information (ENSAI) and a permanent member of Centre de Recherche en Économie et Statistique (CREST). He holds a PhD in Computer Science from Sorbonne Université (2020) and conducted postdoctoral research at the Paris Brain Institute.
- PhD: Sorbonne Université (2020)
- Postdoc: Paris Brain Institute (ARAMIS & Corti-Corvol teams)
His research focuses on machine learning for time series and signals with applications in precision medicine and open source software. He has developed pyts, a Python package for time series classification and contributed to scikit-learn, tslearn, and other open source libraries. His work addresses predictive modeling for neurodegenerative diseases like Parkinson’s, including impulse control disorders and cognitive decline.
Article trends show strong integration of machine learning with medical imaging (MRI, functional connectivity), genetic analysis (risk scores, polygenic factors), and clinical decision support. Publications span time series classification algorithms, software tool development, and neurology applications.
At Paris Brain Institute, he collaborated with teams studying neurodegenerative diseases, applying multivariate classification and automated diagnosis systems to improve patient outcomes. His commitment to open science emphasizes reproducibility and community-driven software development.
