2023 International Day of Women and Girls In Science: Maryam Onifade

Maryam Onifade - International Women & Girls in Science Day - Graphics Card

Maryam Y. Onifade, PhD Candidate

Department of Mathematics and Statistics, University of Ottawa 

Featured Work

Onifade MY, Roy-Gagnon MH, Parent ME, Burkett KM. Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling.

BMC Genomics, 23, Article number: 98, 2022.

Research Interests

I am interested in developing statistical methods to discover genetic factors that contribute to human traits. My PhD research is centred on developing a linear mixed model for correcting for population stratification in extreme phenotype sampling.  


Drs. Kelly Burkett and David Sankoff

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