Sharon King-Yu

Sharon King-Yu is an Assistant Professor at the Department of Mathematics and Statistics, McMaster University. She holds dual Ph.D. degrees in Statistics (University of Guelph, 2016) and Physics (Trinity College Dublin, 2008), supported by an Alexander Graham Bell Scholarship from NSERC. Her work bridges data science, computational statistics, and non-Gaussian mixture modeling.

• Research focus: Big data analysis, evolutionary computation, high-dimensional subgroup identification via variance-gamma distributions

Recent publications highlight her expertise in evolutionary algorithms for parameter estimation, non-Gaussian clustering techniques, and optical properties of nanomaterials. Her teaching portfolio includes Data Science Methods, Computational Inference, and Probability & Statistics for Engineering.

• Scientific recognition: Alexander Graham Bell Scholarship (NSERC)

Sharon's interdisciplinary approach connects statistical learning with nanoscience, demonstrating her unique contribution to computational methodologies and applied data analysis. Contact: sharonmc@mcmaster.ca