Teaching: Bridging Sociological Analysis, Data Science, and Policy
As a sociologist, I believe sociology education empowers students to critically examine society and contribute meaningfully to policy-making through rigorous data analysis. By exploring how social structures and individual agency interact across time, students gain a sophisticated understanding of how life course trajectories shape patterns of advantage and disadvantage. Integrating data science with sociological perspectives enables us to uncover complex patterns of inequality over time, providing crucial evidence for policy interventions. This analytical approach equips students with the quantitative and theoretical tools to address systemic inequalities while developing a deeper understanding of how social forces shape individual and societal outcomes.
Philosophy
My goal is to inspire students to harness sociology’s analytical power while developing robust data science skills. I create an engaging learning environment where students:
- Learn quantitative methods and machine learning techniques while grounding their analysis in sociological theory and frameworks
- Develop critical thinking about social stratification and inequality through data-driven investigation
- Apply advanced analytical skills to address real-world policy challenges, transforming research into actionable insights
Experience
Drawing from the experiences below, I have developed an approach that integrates theoretical frameworks with advanced methodological techniques, enabling students to critically analyze social phenomena using rigorous quantitative tools to foster actionable insight.
Capacity Building and Training Associate, Asian Development Bank Institute, Tokyo
- Designed policy dialogues and training programs
- Facilitated discussions on development practices across Asia
- Collaborated with Stanford University Leadership Academy
Organizer, Summer Institute in Computational Social Science (SICSS)-UCLA
- Led the planning and coordination of a 10-day Data Science for Social Science lecture series, managing venue logistics, syllabus development, and participant selection
- Delivered lectures on machine learning applications in social sciences
- Taught how to access panel data for social science research.