Teaching
Up coming & current courses
Graduate course, University of Washington, Center for Statistics and the Social Sciences, 2027
Syllabus (coming soon)
Undergraduate course, University of Washington, Department of Sociology, 2027
3 Credit Lecture Syllabus
As an educator in social science, data science, and quantitative methods, my goal is to ground students in the full arc of empirical research: from data collection (e.g., surveys and sensors), through analysis (e.g., regression and descriptive statistics), to the presentation and interpretation of results. Students learn methods and statistics best through hands-on experience, so my courses emphasize concrete examples, written reports, problem sets, and presentations. I also help students engage critically and responsibly with emerging tools—including artificial intelligence and machine learning—both as objects of sociological study and as instruments for doing research.
My teaching centers on data science, artificial intelligence, demography, social network methods, and homelessness, and I have taught a range of statistics and sociology courses at the graduate and undergraduate levels.
Below is a list of courses I have taught, along with other teaching-related activities.
AI at the University of Washington
- 2026 - present: Member of the task force for the campus-wide AI minor for undergraduate students (featured in GeekWire).
- 2025 - present: Member of the Working Group on Guiding Principles for AI in Graduate Programs at UW.
- 2026 - present: Member of the Purple AI Beta Users group.
- Undergraduate Courses
- SOC 401: AI and Data Science in Public Policy
- SOC 325: Quantified Self: An Introduction to the Societal implications of self-tracking
- SOC 225: Data and Society
Data Science at the University of Washington
- 2021 - 2024: Training Director for a NIH funded T32 Program in Data Science and Demography Training at the University of Washington.
- 2020 - present: Curriculum committee for the university-wide Data Science minor.
- Graduate Courses
- SOC 538: Data Science, Population Processes and Health
- CSSS 567/STAT 567: Statistical Analysis of Social Networks
- Undergraduate Courses
- SOC 225: Data and Society (Data Science Minor)
- SOC 325: Quantified Self: An Introduction to the Societal implications of self-tracking (Data Science Minor)
Demography at the University of Washington
- Graduate Courses
- SOC 538: Data Science, Population Processes and Health
- SOC 533: Research Methods in Demography
- Undergraduate Courses
- SOC 331: Population and Society
Sociology
University of Washington
- SOC 538: Data Science, Population Processes and Health
- SOC 506/CSSS 507: Quantitative Techniques in Sociology
- SOC 504: Introduction to Applied Social Statistics
- SOC 401: Housing and Homelessness in the United States
- SOC 401: AI and Data Science in Public Policy
- SOC 331: Population and Society
- SOC 325: Quantified Self: An Introduction to the Societal implications of self-tracking (Data Science Minor)
- Syllabus
- Spring 2021; Winter 2023; Fall 2023
- SOC 301: Homelessness in the United States
- SOC 225: Data and Society (Data Science Minor)
- 3 Credit Lecture Syllabus
- 5 Credit Lecture and Lab Syllabus
- Fall 2020; Spring 2020, 2021, 2022, 2025; Winter 2024, 2025
University of Minnesota
- SOC 8811: Advanced Social Statistics (Major requirement, PhD)
- SOC 8412: Social Network Analysis: Theory and Methods (Graduate, elective, PhD)
- SOC 3811: Social Statistics (Major Requirement, BA/BS)
- SOC 3412/3412H: Social Networking (Undergraduate, elective, honors, BA/BS)
- SOC 3090: The Sociology of Neighborhoods (Undergraduate, elective, online, BA/BS)
Statistics
University of Washington
- CSSS 567/STAT 567: Statistical Analysis of Social Networks
- CSSS 533: Research Methods in Demography
- CSSS 507: Quantitative Techniques in Sociology
University of Minnesota
- STAT 5931: Topics: Predictive Modeling of Spatial, Textual and Network Data (Undergraduate/Graduate, elective, BS/MS)
- STAT 5201: Sampling Methodology in Finite Populations (Undergraduate/Graduate, elective, BS/MS)
- STAT 3701: Introduction to Statistical Computing (Major requirement, BA/BS)
- STAT 3022: Data Analysis (Major requirement, BA/BS)