Sharon McNicholas is an Assistant Professor at the Department of Mathematics and Statistics, McMaster University. She holds two Ph.D. degrees, one in Statistics and the other in Physics. Her Ph.D. in Statistics was supported by an Alexander Graham Bell Scholarship from the Natural Sciences and Engineering Council of Canada.

Her research focus is on data science and the computational aspects of statistics, with a particular focus on the analysis of modern data sets, i.e., so-called big data. The focus of some recent research has been on using evolutionary computation techniques for parameter estimation within various statistical models. She has also developed an approach that is effective for finding subgroups in high-dimensional data. This approach is based on mixtures of variance gamma distributions, which permit asymmetric and heavier-tailed subgroups.