Teaching
The goal of the recovery process is not to become normal. The goal is to embrace our human vocation of becoming more deeply, more fully human.
— Patricia Deegan, Recovery as a Journey of the Heart (1996)
I bring this orientation to my classroom. I meet students as full human beings, and I trust that what they bring, their experiences, their questions, their hesitations, belongs in our work together.
I have served as a teaching assistant and lab instructor for graduate-level courses in machine learning and quantitative methods at the University of Pennsylvania, and for undergraduate courses in social work practice at Seoul National University. My teaching emphasizes connecting quantitative reasoning and applied methods to social work and mental health research, and supporting students as they develop both analytical skills and applied judgment.
University of Pennsylvania
1. Practical Machine Learning Methods
Graduate-level course introducing applied machine learning techniques for social policy and social work research. Topics include supervised and unsupervised learning, model evaluation, and ethical considerations in algorithmic decision-making.
2. Quantitative Methods (MSSP 6300)
Foundational graduate course in quantitative reasoning and statistical methods for social work and social policy. Led weekly lab sessions covering descriptive statistics, hypothesis testing, regression, and applied data analysis in R, with an emphasis on translating statistical output into substantive interpretation.
Subin's clarity, patience, and structured guidance were central to my success in the Quantitative Methods Lab.
She consistently clarified the logic behind the code rather than just the syntax, which strengthened both my technical skills and conceptual understanding.
Subin is very thoughtful in preparing materials for the lab session. She is very approachable and patient with students and sincerely wants to help students' learning.
Seoul National University
1. Social Work Practice
Core undergraduate course introducing the foundational theories, ethics, and frameworks of social work practice. Supported instruction on practice models, the helping process, and professional values in social work.
2. Skills for Social Work Practice
Skills-based undergraduate course focusing on micro-level practice techniques, including interviewing, assessment, and intervention planning. Supported students in developing applied competencies for direct social work practice.
3. Social Work Practice
Core undergraduate course introducing the foundational theories, ethics, and frameworks of social work practice. Supported instruction on practice models, the helping process, and professional values in social work.