Jeffrey Durieux

Jeffrey Durieux is a Researcher at the Department of Econometrics, Erasmus School of Economics, Erasmus University Rotterdam, specializing in advanced statistical methods for brain imaging data analysis. His work bridges econometrics, computational neuroscience, and machine learning to develop novel approaches for fMRI data interpretation.

His research focuses on Independent Component Analysis, clustering methodologies, and model selection for high-dimensional neuroimaging datasets. Key contributions include Clusterwise ICA (C-ICA) frameworks for identifying neurofunctional subtypes, optimization of overlapping clustering strategies, and evaluation of data reduction techniques in big-data neuroscience contexts. His methodologies particularly address challenges in resting-state fMRI analysis and subject stratification.

Durieux's publication record demonstrates consistent innovation in computational neuroscience since 2019, with increasing focus on practical implementations (e.g., R packages) and methodological rigor in clustering subject populations based on brain connectivity patterns. His work shows strong interdisciplinary impact across statistics, computer science, and clinical neuroscience.

Scientific recognition includes:

• IOPS Best Paper Award 2022 (awarded June 8, 2023)
• IFCS Cluster Benchmarking Challenge 2022

Collaborative research efforts with S.A.R.B. Rombouts, T.F. Wilderjans, and other neuroimaging specialists reflect his integration within major neuroscience research networks, though specific grant funding or student supervision details remain unreported in available sources.