Statistical Consultant
Center for Social Science Computation and Research, University of Washington
06/2023 – Now · Seattle, 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
06/2024 – 09/2024 · Seattle, 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
• Curated massive response data by students across states and leaning units

Research Assistant
University of Washington
09/2022 – 09/2024 · Seattle, 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