Center for Statistics (CenStat) of UHasselt together with the Biostatistical Center of the Catholic University of Leuven, Belgium, forms the Interuniversity Institute for Biostatistics and statistical Bioinformatics (IBioStat). CenStat is a prestigious scientific and educational center in biostatistics and bioinformatics. Currently, IBioStat includes 13 full time professors, 21 post-doctoral and senior researchers, and over 30 pre doctoral researchers. IBioStat is an internationally well-known research center in the domain of (bio) statistics and statistical bioinformatics. Its expertise is clearly proven through a large number of publications in the peer reviewed literature, several monographs on the topics like statistical modelling of complex data, surrogate endpoint validation, or modelling microarray data in early drug development. CenStat hosts an internationally recognized programme of Master studies in statistics that includes biostatistics and statistical bioinformatics as trajectories. Recent involvement in Research and innovation projects: 2011-2015 BRAVO (Biomarker Retrospective Analysis for Validation Optimization): a project organized under the EurotransBio initiative, aiming at development of novel statistical approaches that would increase the efficiency of clinical validation studies of biomarker based diagnostic tests, 2012-2017 MIMOmics: An FP7 project that aims at developing robust and efficient statistical methods for the integrated analysis of metabolomics, glycomics, proteomic and genomic datasets in large studies, 2013-2016 IDEAL (Integrated DEsign and AnaLysis of small population group trials). 2011-2014 QSTAR (Quantitative Structure-Transcription-Assay Relationships) involves a multidisciplinary team of industrial and academic partners from the US and Europe. This consortium is laying the foundation for the integration of three data types that are used throughout the drug discovery process: biological assay data, molecular profiling data and chemical structure information. Another excellent example of CenStat's collaboration between members from the pharmaceutical industry, the technology industry, and the research sector is the ExaScience Lab (2013-2015) dedicated to investigate High Performance Computing (HPC) applications in the life sciences. CenStat will help in providing methodological expertise for the design and analysis of experiments undertaken by PhD students. CenStat will help in organizing the PhD courses in statistics and statistical bioinformatics. By following the courses, the PhD researchers will acquire the necessary methodological knowledge that will help them in planning and analysing the experiments constituting their PhD research. The team has sufficient resources to offer a suitable environment to significantly contribute to the research, training and innovation activities proposed. Key people: Prof. Tomasz Burzykowski, Prof. Ziv Shkedy, dr. Jürgen Claesen.