About Me
Instructor in the Department of Epidemiology and the CAUSALab at Harvard T.H. Chan School of Public.
Research Interests
My current research focuses on improving and applying cutting-edge causal inference methods to address clinically relevant questions about the treatment and prevention of chronic diseases. Specifically, I am interested in applying and improving causal inference methods for target trial emulation. Much of my work is focused on the development of instrumental variable methods for time-varying treatments and outcomes (via g-estimation of structural models), and the application of these methods to randomized trials and Mendelian randomization studies.
Previous research (during my MSc in Epidemiology at
Queen’s University and as a Data Analyst
at the
Center for Global Child Health
at the Hospital for Sick Children) includes work in cancer epidemiology,
genetics, and global child health and nutrition.
Teaching
I teach methods for causal inference at the Harvard T.H. Chan School of Public Health (as part of the Department of Epidemiology and CAUSALab), and Harvard Medical School (as part of their Master of Medical Sciences in Clinical Investigation (MMSCI) program).
You can find some of my teaching- and course-related materials
here.
Education
2016-2020 | PhD, Population Health Sciences Harvard T.H. Chan School of Public Health, USA |
2019-2020 | SM, Biostatistics Harvard T.H. Chan School of Public Health, USA |
2013-2015 | MSc, Epidemiology Queen's University, Canada |
2009-2013 | BScH, Life Science Queen's University, Canada |
Contact me
You can reach me via email.