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)
CSS 100: Advanced Programming for Computational Social Science
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.
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.