A practitioner and researcher 

Trained as a mathematician and statistician, my career in educational measurement has spanned both practical application and academic research.

Over the years, I have had the opportunity to share my findings through numerous publications and presentations, and I have greatly enjoyed teaching college-level courses in measurement, statistics, and mathematics. During my tenure as a lead psychometrician at ETS, it was a privilege to support the statistical and psychometric operations of large-scale testing programs, including AP, GRE, NAEP, PISA, PSAT, SAT, TOEFL and TOEIC.

Currently, my research and development focus is on human-centered AI applications. By integrating psychometrics, data science, and statistics, I work with a team of colleagues to analyze multi-source educational data (such as response and behavioral data) to provide actionable insights that help to inform teaching, learning, and policymaking.

I am very fortunate that my recent work has been supported by grants from the Department of Education (i.e., NCES at IES), the Gates Foundation, the National Science Foundation, and the OECD, and I am honored to have received research awards from both NCME and AERA. I also actively serve on professional committees (such as journal editoral committees, conference program chairs, award committee, and ad hoc reviewers) as a way to give back to the field.

Ultimately, I consider myself a lifelong learner, equipped with psychometric operation and research skills, backed by mathematics and statistics fundation. I remain deeply enthusiastic about how technology and AI will continue to transform and enhance how we learn, work, and live.