I'm a PhD candidate in my final year. My current research explores the applications of category theory to topics in data science. In particular, I'm interested in lenses, optics, vector symbolic architectures/hyperdimensional computing, and functional programming. Previously, I studied computational neuroscience and machine learning more broadly. Specifically, applying information theory to develop local learning rules in deep learning models.

While I enjoy research, my real passion is for teaching and pedagogy. Prior to teaching at the post-secondary level, I was heavily involved in YMCA Calgary's All-in for Youth math tutoring program. I have experience teaching both upper and lower-year math and computer science courses. I'm very keen to develop course streams that introduce students to functional programming, type theory, and category theory at an earlier stage in their academic lives.

Outside of work, I spend lots of time doing sessional instructor and graduate student advocacy. I have a deep passion for rock climbing. For fun, I also enjoy sumo and poker.