Dr. Theo Niyonsenga is an Associate Professor of Biostatistics at the University of Canberra (UC) Faculty of
Health, and a member of both UC Health Research Institute (HRI) and Centre for Research and Action in Population Health (CeRAPH). He was trained in Mathematics, Physics & Engineering Sciences (Bachelor of Science, National University of Rwanda, 1979–1982); in Mathematical Statistics (Master of Science
and PhD, University of Montreal, Canada, 1982–1991); and completed his postdoctoral research training in Biometry (University of Montreal, Canada, 1991–1992). Dr. Niyonsenga commenced his continuing position with the University of Canberra by the end of January 2017. Prior to this relocation, he worked at the University of South Australia from September 2013 till January 2017. He has more than 20 years of experience working as a biostatistician in research, teaching and statistical consulting. He developed and applied statistical methods to collaborative research projects focusing on, but not limited to, the areas of multivariate data analysis methods such as structural equations modelling, longitudinal and multi-level data analysis and spatial statistics with application to spatial epidemiology.
Dr. Theo Niyonsenga is an Associate Professor of Biostatistics at the University of Canberra (UC) Faculty of
Health, and a member of both UC Health Research Institute (HRI) and Centre for Research and Action in Population Health (CeRAPH). He was trained in Mathematics, Physics & Engineering Sciences (Bachelor of Science, National University of Rwanda, 1979–1982); in Mathematical Statistics (Master of Science
and PhD, University of Montreal, Canada, 1982–1991); and completed his postdoctoral research training in Biometry (University of Montreal, Canada, 1991–1992). Dr. Niyonsenga commenced his continuing position with the University of Canberra by the end of January 2017. Prior to this relocation, he worked at the University of South Australia from September 2013 till January 2017. He has more than 20 years of experience working as a biostatistician in research, teaching and statistical consulting. He developed and applied statistical methods to collaborative research projects focusing on, but not limited to, the areas of multivariate data analysis methods such as structural equations modelling, longitudinal and multi-level data analysis and spatial statistics with application to spatial epidemiology.