I am a Ph.D. candidate in Educational Psychology and Research Methodology at Purdue University, working under the guidance of Professor Hua-Hua Chang.
As testing unfolds, examinee behavior and item performance can change in ways that threaten the interpretation of scores. I develop real-time monitoring, in-session intervention, and continuous item-pool maintenance methods for adaptive, responsive, and self-renewing live assessment.
My research has been recognized and supported by the Ross Fellowship (2023–2026, 2027–2028) and the ETS Harold Gulliksen Psychometric Research Fellowship (2026–2027).
News
- [2026.08] My proposal was accepted for a paper session at the 2026 NCME Artificial Intelligence in Measurement and Education Conference (AIME–Con). See you in Pittsburgh this October!
- [2026.06] I have started my 2026 summer internship as a Psychometric Research Intern at the National Commission on Certification of Physician Assistants (NCCPA).
- [2026.05] I received the ETS Harold Gulliksen Psychometric Research Fellowship (2026–2027).
- [2026.04] My poster was selected as a winner of the Graduate Student Works-in-Progress eBoard Competition at the 2026 NCME Annual Meeting in Los Angeles.
Selected Publications
-
A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale AssessmentsApplied Measurement in Education 2026Major revision
Selected Honors & Awards
- ETS Harold Gulliksen Psychometric Research Fellowship, 2026
- NCME Graduate Student Works-in-Progress eBoard Competition, Award Winner, 2026
- Psychometric Society Vector Travel Award, 2025
- Ross Fellowship, Purdue University, 2023
- National Scholarship, 2022
- Outstanding Student, 2022
- Shu Qing Encouragement Scholarship, 2021
- The Third Prize in the Contemporary Graduate Statistical Contest in Modeling, 2020
- The Second Prize in the COVID-19 Data Analysis Contest, 2020
- National Encouragement Scholarship, 2019
- The Third Prize for the Contemporary Undergraduate Statistical Contest in Modeling, 2019
- Shanghai Popular Science Education Innovation Award, 2019
- The Meritorious Winner in the Interdisciplinary Contest in Modeling (ICM), 2019