My teaching focuses on methods in particular, such as programming (e.g., in Python), data visualization, statistics, and natural language processing. I also teach classes focused on language and cognition.
Courses I Teach
COGS 101C: Language
COGS 14B: Introduction to Statistical Analysis
I also create resources for people interested in learning more about statistics and programming in R or Python: see this page for more details.
One of my favorite parts of being in science is mentoring students who want to learn more about research.
So far, I’ve been on a couple Honors Thesis committees:
- Alex Liebscher: do metaphors we use describe experiences with cancer affect charitable donations
- Monica Van: do memes scaffold learning mathematical concepts
In Spring 2019, Pamela Rivière and I organized a course and speaker series called: Data Practices (in the 21st century). The course featured speakers from a number of departments, including: Anthropology, Computer Science and Engineering, and History. The syllabus can be found here.