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.
In my Master’s in Epidemiology and while working at the Lady David Institute of the Jewish General Hospital I heavily employed econometric methods, in particular for investigating the causal impacts of policy introduction on population health outcomes. 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!