I'm the kind of person who loves wrestling with difficult questions, tackling messy human problems, and communicating complex ideas to others. These passions are what originally brought me into philosophy, education, and various non-profit community initiatives. These same passions are what's now propelled me into data science, where I work to translate data into insights and insights into intelligible results.
Before becoming a data scientist, I was a Postdoctoral Fellow at Stanford University, in their Andrew W. Mellon Fellowship of Scholars in the Humanities, and in the Philosophy Department at the University of Toronto. I received my PhD in Philosophy from the University of Toronto in 2015, specializing in ancient Greek philosophy and, in particular, Platonic metaphysics.
Though I'm trained broadly in data science, much of my specific interest has been in the area of natural language processing. (This probably has something to do with my undergraduate education in linguistics and lifelong fascination with human languages.) You can see some of the projects I've done and products I've built on the Portfolio page.
I have been designing and delivering university courses since 2013. You can see syllabi and other materials from all my courses on the Teaching page. Tech folks may be particularly interested in my class on "Philosophy & Emerging Technologies". Others may be more interested in my class "'Can good people like bad music?' and other questions".
In my community, I'm currently a volunteer board member of the Junction Farmers Market, a weekly seasonal market dedicated to supporting sustainability and food security in Toronto's Junction neighbourhood.