I am an environmental analytical scientist with a strong background in statistical analysis of observational data. I also employ modelling to understand tropospheric photochemical reactions, especially in an urban air quality context. I have significant field experience in developing and deploying analytical instrumentation in the High Arctic.
I am interested in statistical analysis of medium sized data sets (up to 500,000 observations), including multivariate data analysis of partially dichotomous data. I am very much interested interpreting measurement data for the application and validation of atmospheric chemistry models. My main statistical tools for data analysis are Matlab and R.
My current research focuses on (long-term) observations of urban pollutants in major Canadian cities on a local (i.e., street-level) scale in the direct vicinity of the pollutant sources and the general population
I also perform multivariate modelling of mid-infrared data for classification of contaminated agricultural commodities. In collaboration with Université Laval I also work on Risk Assessment Modeling for food allergens such as milk protein using Monte-Carlo simulations.
Previously, I was a lead author and chapter coordinator for the Canadian Mercury Science Assessment for the "Emissions" Chapter. I have also conducted a statistical evaluation of gaseous and reactive mercury species data from observations and model results. All mercury work was done in collaboration with Environment Canada.
During field studies in the High Arctic (in Alert, NU and Barrow, AK), I investigated the exchange of volatile organic compounds between snow and air using GC-FID and GC-MS.
