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Thierry Chekouo, Phd
PhD in Statistics Department of Mathematics and Statistics Université de Montreal, Canada
Areas of Research
Statistics/Biostatistics
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.
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.
Supervising degrees
Math and Statistics - Doctoral: Seeking Students
Math and Statistics - Masters: Seeking Students
Math and Statistics - Masters: Seeking Students
More information
Working with this supervisor
I am currently seeking graduate students in Statistics/Biostatistics. Successful applicants who wish to work with me should have a strong background and interest in Statistics or Biostatistics. Proficiency with scripting and programming languages in one or more of R, C/C++, Python, BUGS or Stan is prefered.
Contact this supervisor
Complete the following form if you are interested in working with this supervisor for your Graduate Program. All fields are required, unless indicated otherwise.