I am an Assistant Teaching Professor in the Cognitive Science department and Computational Social Science (CSS) program at UC San Diego. This means that I split my time teaching classes for both departments.

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

CSS 1: Introductory Programming for Computational Social Science (website)

CSS 2: Data and Model Programming for Computational Social Science (website)

COGS 101C: Language

COGS 153: Language Comprehension

COGS 150: Large Language Models and Cognitive Science

COGS 14A: Introduction to Research Methods

COGS 14B: Introduction to Statistical Analysis

Methods tutorials

I also create resources for people interested in learning more about statistics and programming in R or Python: see this page for more details.

Mentoring

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

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.