I am a PhD candidate (in Statistics) at the University of Waterloo , co-supervised by Michael Wallace and Grace Yi .
- My Google Scholar has an up to date set of my publications and preprints.
- My YouTube Channel contains lecture and tutorial videos from courses I have taught, illustrating my teaching style.
- My CV is available in PDF form (last updated November, 2021).
- My Teaching Philosophy Statement has been published as a blog post.
- My Research Philosophy Statement has been published as a blog post.
My work focuses on measurement error and causal inference. Briefly, measurement error occurs whenever we are interested in measuring something and we do a bad job of it. This happens in almost every study that is run, and unfortunately means that the conclusions that we draw may not be accurate: statistical work on measurement error tries to correct this. Causal inference asks questions of the form “Does $X$ cause $Y$?” [For instance “Does smoking cause lung cancer?” (yes, it does).] I have a keen interest in providing a theoretical basis for (comparatively) straightforward methods, which are easy to use for non-statisticians, while exhibiting provably good theoretical properties.
Outside of causal inference and measurement error, I am interested in machine learning, and in particular in trying to establish a statistical basis for novel machine learning techniques (including questions related to inference, interpretability, and model selection).
I previously did an undergraduate degree in Finance and Mathematics at Queen’s University (I transferred there after completing my first year at Waterloo/Laurier in the ‘Double Degree’ program), and a Master’s of Statistics at Waterloo.
Outside of my research, I pay very close attention to sports, mostly hockey, (and how statistics is, or should be, applied there), play music (without any connection to statistics), and enjoy board/video games (with varying degrees of statistical relevance). I have a cat (Charles) who is wonderful.
- In the Winter of 2022 I will be teaching STAT 437 at the University of Waterloo. The course will be offered online, and as my material is ready, it will be posted to my YouTube channel .
- In the Winter of 2021 I was one of the instructors for STAT 231 at the University of Waterloo. As a part of my role for this I produced a set of weekly tutorial videos. These are available to view in a YouTube playlist .
- I have served as a teaching assistant for 18 courses between my time at the University of Waterloo and Queen’s University. A full list is available in my CV .