Thierry Chekouo, PhD
My research interests are in developing new statistical frameworks for analyzing datasets characterized by high dimensionality and complex structures such as high-throughput genomic, epigenomic, transcriptomic, proteomic, and imaging data. I have been broadly interested in Bayesian statistical methods, variable selection, clustering and bi-clustering, functional data analysis, and software development. A special focus is on developing integrative Bayesian models combining different sources of data for biomarker discovery and clinical prediction. Those models can take into account prior biological knowledge in order to better predict clinical outcomes.