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I obtained my bachelor’s and master’s in psychology and then completed a PhD in Epidemiology at McGill University. My journey from the quantitative social sciences to the health data science field has helped me gain a host of expertise related to study design, such as clinical trials, statistical modelling techniques drawn from causal inference and econometrics.

I co-founded Precision Analytics with Erika, also holding a PhD from McGill and am an accredited statistician. While overseeing our team of data scientists and software developers, I still love to have a role in hands-on programming and of course, anything Bayesian!

As a Data Scientist at Precision Analytics, I have had the good fortune to meld my background in epidemiology and biology with meticulous programming and data management practices. I have worked in a number of substantive areas including health care policy, health outcomes analysis and prediction, as well as forays into bioinformatics. I have always worked with many disparate sources of data which I pride myself in cajoling into a coherent picture.

I am a Masters student in Epidemiology at McGill University. In summer 2017, I did an internship at Health Canada, where I developed several R shiny applications for interactive visualization of the Canada Vigilance Adverse Reaction Database. The experience motivated me to explore more in big data, data visualization and data mining. With open-source communities, there are endless learning opportunities in this field and I am thrilled to be part of the journey!

I am a Software Developer at Precision Analytics. I have experience working on and building data-driven applications, and enjoy learning new software tools and methodologies.