Teaching

Instructing Experience

In reverse chronological order:

  • Summer 2020 - COGS 14B: Introduction to Statistical Analysis

TA Experience

Classes I’ve been a TA for:

  • COGS 101B: Learning, Memory, and Attention (Winter 2021)
  • COGS 14B: Introduction to Statistical Analysis (Fall 2020, Winter 2020)
  • COGS 14A: Introduction to Research Methods (Winter 2018)
  • COGS 100: Cyborgs Now and in the Future (Fall 2017)
  • COGS 101C: Language (Spring 2017)
  • COGS 3: Introduction to Computer (Winter 2017)

Mentoring

One of my favorite parts of being in science is mentoring students who want to learn more about research. Most recently, I served on the Honors Thesis committee for Alex Liebscher, who investigated whether metaphors we use to describe experiences with cancer affect charitable donations; his honors paper can be found here.

Additional information

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. Topics covered included: the ethical and legal balance between transparency and data privacy/security, appropriate and inappropriate statistical practices, the (often exploitative) relationship between scientists and the communities they study, and more. The syllabus can be found here.

For the past two academic years (2019-2020, 2020-present), I’ve also served as the Statistics in R Methods TA for the Cognitive Science department. I’ve written a number of statistics tutorials, mostly in R.