I am a Statistician at Johnson \& Johnson, leading the Statistical Innovation and Emerging Technologies team, which brings together experts in high-dimensional data analysis supporting statistical analysis of datasets coming from recent and novel technologies. We use this expertise to support drug discovery projects across all therapeutic areas.

Before this, I was a Postdoctoral Scholar at UC Berkeley and Ghent University, supervised by Sandrine Dudoit and Lieven Clement, where I developed statistical methods to analyze biological high-throughput sequencing data, e.g. (single-cell) RNA-seq data.

My research interests include normalization, dimensionality reduction, differential (expression) analysis and multiple testing. I support open science and open source software.

Background

I obtained a MSc. in Biology from Ghent University in 2013, and a MSc. in Statistical Data Analysis from Ghent University in 2014. I have finished my PhD in May 2019, supervised by Lieven Clement, where I have developed statistical methods for differential expression analysis in bulk and single-cell RNA-sequencing applications.