Dr. Ayesha Ali

Biography

Ayesha Ali is a Professor in the Department of Mathematics and Statistics at the University of Guelph, where she has been a faculty member since 2006. She obtained her PhD in Statistics from the University of Washington in 2002 and previously served as an Assistant Professor in the Department of Statistics and Applied Probability at the National University of Singapore. Her research primarily focuses on complex systems with an emphasis on inferring links in high-dimensional networks using limited observed data. Dr. Ali's work has involved the development of statistical models and methods applicable to various fields, including plant-pollinator networks, genetic selection in livestock, and more. She is recognized for her contributions to the development of robust statistical methods that tackle contemporary challenges in the analysis of complex data sets. In 2020, she was awarded the Canadian Journal of Statistics Award for her work on regression models that incorporate graphical structures in predictors. Ayesha has held several research grants, including NSERC Discovery and Collaborative Research Development grants, and has served on the Program Committee for the Uncertainty in Artificial Intelligence Conference. Her professional activities also include editorial roles and committee memberships within national statistical organizations.

Research Interests

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Awards