Instructor
College of Education & Center for Statistics and the Social Sciences, University of Washington
09/2025 – Now · Seattle, WA, United States
- Deliver lectures on the theoretical foundations and core models of Item Response Theory for graduate students in the social sciences.
- Design and lead R lab sessions focusing on the implementation and interpretation of IRT models
- Advise and mentor graduate students on applying IRT models to healthcare and social science data
Psychometrics and Data Science Research Intern
National Commission on Certification of Physician Assistants (NCCPA)
06/2025 – 08/2025 · Johns Creek, GA, United States
- Proposed and led an independent project examining the impact of specialty-domain alignment on medical recertification exams
- Applied explanatory item response theory methods to conduct the analysis and interpret results
- Led a series of documents, including an internal report, an NCME conference submission, and a manuscript in preparation for journal publication
Research Assistant
College of Education, University of Washington
09/2024 – 06/2025 · Seattle, WA, United States
Project: Variational methods and factor regularization: Analyzing complex large-scale assessment with high-dimensional covariates
PI: Chun Wang, PhD. Funded by Institute of Education Sciences
- Verified the feasibility of applying factor-augmented regression in latent regression modeling
- Developed factor-augmented regularized latent regression methods and proposed debiasing approaches
- Contributed to the drafting and revision of the research paper
Research Assistant
University of Washington
06/2024 – 06/2025 · Seattle, WA, United States
Project: HARLI: Harvesting Actionable Results for Learning and Instruction: A Novel Mixed Methods Approach to Extracting and Validating Information from Diagnostic Assessment
PI: Chun Wang, PhD. Funded by National Science Foundation
- Pioneered the application of causal discovery methods to recover the facet map
- Developed and evaluated an innovative longitudinal cognitive diagnostic model
- Collaborated weekly with content experts to interpret and refine modelling results, as well as integrating feedback to improve the analytical process
Statistical Consultant
Center for Social Science Computation and Research, University of Washington
06/2023 – 09/2025 · Seattle, WA, United States
Supervisor: Jerald Herting, PhD
- Conducted workshops on R Programming for faculty and students
- Provided statistical, methodological, and computation consultation to improve the research of faculty and students
Research Assistant
University of Washington
09/2022 – 09/2025 · Seattle, WA, United States
Project: HOPE: Achieving home discharge for institutionally bound patients with PROMs, AI, and the HER
PI: Andrea Cheville, MD. Funded by National Institute of Health
- Cleaned a massive electronic health record (EHR) dataset with over 10 million records and conducted descriptive statistics
- Conducted a comprehensive comparison of multiple fairness metrics, bridging their statistical definitions with social context and commonly used predictive performance metrics
- Developed a prediction model that can handle large proportion of missingness and variable selection using advanced regularization methods
Psychometrician (Internship)
ByteDance Co., Ltd.
05/2022 – 07/2022 · Beijing, China
- Conducted descriptive statistics, data visualization, and results interpretation
- Identified the items in which the difficulty parameters were abnormally labeled through quantitative analysis
- Simulated item recommendation rules and adjusted the recommendation rules based on the simulation results
Teaching Assistant (Awarded as Excellent T.A.)
Beijing Normal University
09/2020 – 01/2021 · Beijing, China
Course: Adaptive Testing and Diagnostic Adaptive Assessment
- Taught R programming and tutored 18 graduate students in foundational statistics
- Reviewed and provided feedback on weekly assignments
Research Assistant
National Assessment Center for Education Quality
06/2019 – 08/2019 · Beijing, China
Project: Vertical linking based on large-scale assessment projects in China
PI: Ping Chen, PhD. Funded by Chinese Testing International Co., Ltd.
- Participated in the research on test equating design and methods
- Helped with programming for Monte Carlo simulation programs to compare different equating methods
- Prepared for presentation slides and posters