Research
We conduct methodological and empirical research in two directions:
- Leverage data science and AI as methodological tools to answer social science questions
- Examine benefits and harms of data science and AI for society
We actively work with under-resourced educational institutions and marginalized populations to help improve their conditions with data science and AI.
Current Projects

Longitudinal modeling of educational inequality
We investigate modeling strategies that convert longitudinal, unstructured data (e.g., digital traces, curricular content) into a rigorous understanding of how educational inequality accumulates through day-to-day teaching and learning experience.