Bene Tchaleu, Fabiola


Fabiola joined the Centre for Experimental Medicine & Rheumatology within the William Harvey Research Institute as a Biostatistician in May 2016.

After obtaining a MEng in statistics-economics from the Graduate School of Statistics and Applied Economics (ENSEA) in Ivory Coast in 2010, she completed her training in statistics at the University of Montreal where she got her MSc in statistics in 2013.

Before joining the EMR, Fabiola has previously worked as Statistician at the University of Sherbrooke Addiction Research Chair (Canada, 2013-2014). She worked as a statistician within a UK based Consultancy Company delivering statistical output to top UK’s pharmaceutical companies. Apart from her vast experience in data manipulation using different statistical software (R, SAS, Stata, SPSS), she also has an extensive teaching experience with both undergraduate and postgraduate students.

Since she joined the EMR, Fabiola work has focused on providing expert statistical advice and support for multiple projects to ensure quality deliverables across clinical trials studies, including reviewing SAP and protocol, sample size calculation and randomisation check.  She is now extending the expertise she already got in standard statistical approaches (GLM, cox regression…) into the development of integrative statistical methodology of high-throughput genomics data, especially in improving existing model selection methods to exploit sparsity. Improvement in existing statistical method will lead to an improvement in RA biomarker discovery and development of algorithms to help clinicians recommend the treatments most likely to work to RA patients.



  • Study design (sample size and power calculation, randomisation)
  • Statistical analysis plan (SAP) and protocol development
  • Biostatistics
  • Statistical analysis with R, SAS, Stata, SPSS
  • Statistical consultancy
  • Model selection in high-dimensional setting, with focus on penalized regression.
  • Analysis of microarray data using R and Bioconductor 


Studies I am working on at the moment include:

  • R4RA
  • PEAC
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