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I am an Assistant Professor in the Department of Statistics at the University of Manitoba.

I received a PhD in Biostatistics from McGill University in 2019 while working under the supervision of Dr. Celia Greenwood and Dr. Aurélie Labbe. The title of my PhD thesis is Dimension Reduction and High-Dimensional Data: Estimation and Inference with Application to Genomics and Neuroimaging.

In a previous life, I also received an MSc in Mathematics from McGill University. My thesis work was in the field of arithmetic geometry, and it explored a “relative fundamental lemma” that connects distinguished representations on the unitary group of rank 4 with those on general linear groups. It was written under the supervision of Dr. Jayce R. Getz, who is now at Duke University.

Finally, from 2016 to 2019, I was also a senior biostatistician with the Saskatchewan Health Authority in Saskatoon, SK.

Research Interests

My main research interests are dimension reduction methods for high-dimensional data. This includes linear approaches (e.g. PCA, CCA, PCEV, PLS) as well as nonlinear approaches (e.g. manifold learning, autoencoders). High-dimensional data is challenging to analyse because of the so-called “curse of dimensionality”. However, we can mitigate this curse by using the structure in the data to our advantage.

I am interested in developing statistical methodologies that are statistically and computationally efficient. I am also interested in applications to statistical genetics, genomics, and neuroimaging.

Research Team

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Former members

Publications

Contact

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