Education

Honors & Awards

• 2025 Vector Travel Award, International Meeting of Psychometric Society
• 2025 Travel Grant, National Council on Measurement in Education
• 2024 - 2026 Data Science Fellowship (~$100,000), Stanford University
• 2024 - 2025 Collaborative Learning Fund Award ($1,050), Stanford GSE
• 2024 Nominated Paper, AERA Significant Contribution to Research Methodology Award
• 2022 - 2027 EDGE Fellowship ($12,800), Stanford University
• 2023 - 2026 GSE Travel Fellowship, Stanford University
• 2022 Outstanding Graduates, Sun Yat-sen University
• 2020 National Scholarship, Minister of Education of China
• 2019 Outstanding Paper Award, Chinese Psychological Society
• 2019 Outstanding Undergraduate Thesis, Sun Yat-sen University
• 2017 - 2021 First Prize Scholarship, Sun Yat-sen University

Ad-hoc Reviewer

• Structural Equation Modeling
• Journal of Behavioral Data Science
• Science Progress
• British Journal of Mathematical and Statistical Psychology
• BMC Medical Research Methodology
• BMC Psychology
• AERA Annual Meeting
• R Journal
• Frontiers in Psychology
• Scientific Reports
• Stanford Data Science Conference
• Multivariate Behavioral Research
• Behavior Research Methods
• Computer Applications in Engineering Education
• International Journal of Human-Computer Interaction
• Psychological Methods
• Nature Partner Journal - Digital Medicine
• Knowledge and Information Systems
• Methods in Psychology
• SoftwareX
• Psychometrika
• Scientific Reports

Instructor / Teaching Assistant

• 2026 Instructor, Structural Equation Modeling, LEVANTE Hackathon
• 2026 TA, EDUC 252: Introduction to Psychometrics, Stanford University
• 2024 TA, EDUC 400A: Introduction to Statistical Methods in Education, Stanford University
• 2023 & 2024 Instructor, Workshop on Bayesian Structural Equation Modeling
• 2023 & 2024 Instructor, Workshop on Structural Equation Modeling with Mplus
• 2022 TA, Experience Sampling Method Workshop
• 2021 TA, Advanced Structural Equation Modeling, Sun Yat-sen University
• 2020 TA, Structural Equation Modeling, Sun Yat-sen University
• 2020 TA, Psychological Statistics, Sun Yat-sen University

Memberships

• Psychometric Society
• National Council on Measurement in Education
• Graduate Student Committee, Psychometric Society
  [Assisted in organizing the IMPS Datathon and Research Competition]

Research Experiences

Research Experiences in Psychometrics

• 2022 - 2026 PhD Student, Domingue Lab, Stanford University
  Advisor: Ben Domingue. Research Topics: Model Fitting, IRT, Process Data
• Summer 2024 Visiting Student, Centre for Educational Measurement, University of Oslo
  Advisor: Esther Ulitzsch. Research Topics: Mixture Modeling
• Summer 2021 & 2023 Visiting Student, Lab for Big Data Methodology, University of Notre Dame
  Advisor: Johnny Zhang. Research Topics: Text Mining, Network Analysis, Longitudinal Analysis
• Summer 2020 Visiting Student (Remote), Prof. Xinya Liang's Lab, University of Arkansas
  Advisor: Xinya Liang. Research Topics: Bayesian Regularization, SEM
• 2019 - 2022 Graduate Student, Psychological Statistics and Modeling Lab, Sun Yat-sen University
  Advisor: Junhao Pan. Research Topics: Bayesian Lasso CFA, Mediation, Longitudinal Analysis

Research Experiences on Substantive Topics

• 2024 - present LEVANTE Project, Language & Cognition Lab, Stanford University
• 2022 - present Chariot Program, Lucile Packard Children's Hospital, Stanford University
• 2024 ROAR Project, Brain Development & Education Lab, Stanford University
• 2020 Ni Lab, Tsinghua Shenzhen International Graduate School
• 2019 Pang Lab, School of International Relations, Sun Yat-sen University

Collaborator Map

This visualization represents my academic collaborations across different institutions. I created this network map to explore and illustrate research connections. The R code is available here for those interested in similar visualizations.