Thomas Burger

Thomas Burger is a CNRS senior scientist specialized in statistical and computational methodologies to improve knowledge extraction from high-throughput mass spectrometry based proteomics data. He holds two MS degrees in computer sciences and in applied mathematics (in 2004), a PhD in pattern recognition (in 2007) and a Habilitation thesis (in 2017), all from Grenoble Alpes University (France). Thomas has been an associate professor in machine learning with South Brittany University for three years, before rushing back to his beloved mountains in 2011, as a CNRS scientist. Since then, he has been affiliated with EDyP, a joint lab with Grenoble Alpes University, CNRS, CEA and INSERM. His research group is essentially focused on theoretical questions underlying missing value imputation, multi-omics data fusion and false discovery rate control, while maintaining and developing the Prostar software suite for the statistical analysis of label-free proteomics data