I am a data scientist working for Tesera Systems.

I also hold an adjunct position in the department of Statistics at the University of Manitoba. My research focuses on dimension reduction methods for complex high-dimensional data, with a special interest for computationally and statistically efficient methods. You can find the code repositories for some of our projects here on Github.

My main computational projects are R packages:

• casebase for fitting smooth parametric hazards using case-base sampling.
• biomasscan for estimating the above-ground biomass in individual trees using Canadian allometric equations.
• pcev implements Principal Component of Explained Variance, a dimension reduction method coupled with a hypothesis-testing framework for two multivariate datasets.
• rootWishart uses arbitrary-precision linear algebra to compute the distribution of the largest root of single and double Wishart problems.