YOUMI LAB, led by Dr. Youmi Suk, specializes in the intersection of data science and causal inference in education. Our research spans a range of topics, including:
(i) developing modern causal tools for evaluating education programs,
(ii) designing data-driven policy learning for personalized education,
(iii) incorporating process data into program evaluation,
(iv) bridging concepts of test fairness and algorithmic fairness, and
(v) leveraging AI-generated synthetic data for method evaluation.
Through these projects, we are committed to advancing methodologies that shape education policies, programs, and practices in meaningful and impactful ways.
