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Natalia Stepanova is a Professor in the School of Mathematics and Statistics at Carleton University. Her research expertise lies in High-Dimensional Statistical Inference, focusing on techniques and methodologies used in analyzing data that has a larger number of dimensions than observations. Additionally, she works extensively in Nonparametric Estimation and Hypothesis Testing, contributing significantly to the development of statistical methods that make fewer assumptions about the data structure. Her work has applications across various domains, ensuring robust statistical conclusions from complex data sets. Stepanova has published numerous papers in top-tier statistical journals, reflecting her commitment to advancing the field of statistics. She is also involved in teaching and mentoring students in advanced statistical methodologies, fostering a rigorous academic environment within her department.
Includes MEng and MASc options.