Career Profile
I am a post-doctoral research at Brown University’s Data Science Institute. I have broad interests in statistics and data science, particularly in the world of genetics and biology. My doctoral research was with Simon Gravel’s lab studying structure in population genetics and how to use dimensionality reduction to understand biobank data and improve inference. I am also interested in using data from single-cell RNA sequencing, neuroinformatics, and biological data.
I enjoy teaching courses and workshops as my schedule permits, focusing on statistics and statistical computing. My work prior to my doctorate included professional work as a methodologist as well as graduate studies in data mining and sports analytics.
Work experience
I have assisted in teaching courses in population genetics, and foundational courses in my PhD program. I have also designed and taught workshops on statistics and statistical programming in R as well as dimensionality reduction and ODEs.
I was the instructor for EPIB613: Introduction to Statistical Software for McGill graduate students in epidemiology. The course covered how to implement statistical approaches using R.
I was responsible for the development and implementation of statistical methods for several surveys and projects. My responsibilities included survey design, sample selection and allocation, weighting, estimation, statistical programming, record linkage, and writing and presenting technical reports to stakeholders as well as supervision duties. My projects included:
- The International Travel Survey
- The Canadian Survey of Economic Well-Being
- The Canadian Income Survey
- The Longitudinal Immigration Database
I was responsible for developing internal applications for insurance agents and database maintenance for the company. Most of the work was done in Visual Basic, VBA, and SQL.