I worked as a teaching assistant for the Fundamentals of Epidemiology course for two years (MSc and PhD graduate level only). I now work part time as a Data Analyst and casually as a Statistician within the University. I work in health research across various fields and have a strong background in different research methods (quantitative, qualitative, systematic reviews, mixed methods, implementation science, economic analysis, machine learning, etc.). I am currently working and learning in data platform development. I am proficient in the following software: R, python, Jupyter notebook, VS code, Stata, Microsoft Word/Excel/PowerPoint/Teams, and Covidence. I have experience both mentoring and teaching graduate level students but would also be open to undergraduate students learning research methods or statistics.
Availability varies but mostly Mondays/Wednesdays/and some evenings and weekends.
Tutoring available for: Any courses in the following areas beginners to advanced: epidemiology, statistics, biostatistics, research methods, quantitative or qualitative, administrative data, and implementation science.