I have a knack for figuring out what the thorny problems are and devising data-driven ways to solve them.
Currently, I help modernize and supplement measures about public health at StatCan using alternative data (any non-survey data, like geospatial and web scraped data). I'm also helping create a series of courses on neuroimaging and neurotechnology for Queen's University.
Previously, I used computational models combined with measures of brain, muscle, and behavioural data to research how we sense and interact with our world through movement. As part of this, I helped develop novel statistical methods to analyze brain data.
You can find my contact information here.