Education

Honors & Awards

• 2024 - 2026 Data Science Fellowship (~$100,000), Stanford University
• 2024 - 2025 Collaborative Learning Fund Award ($1,050), Stanford GSE
• 2022 - 2027 EDGE Fellowship ($12,800), Stanford University
• 2023 - 2024 GSE Travel Fellowship, Stanford University
• 2022 Outstanding Graduates, Sun Yat-sen University
• 2017 - 2021 First Prize Scholarship, Sun Yat-sen University
• 2020 National Scholarship, Minister of Education of China
• 2019 Third Prize, Outstanding Thesis Award, Chinese Psychological Society
• 2019 Outstanding Undergraduate Thesis, Sun Yat-sen University
• 2018 Outstanding Presenter, Psychology Forum, Peking 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
• Multivariate Behavioral Research
• Stanford Data Science Conference

Instructor / Teaching Assistant

• 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
• 2025 Graduate Student Committee, Psychometric Society

Research Experiences

Domingue Lab, Stanford University

• PhD student, Fall 2022 - present
• Advisor: Ben Domingue
• Topics: Model Fitting, IRT, Process Data

Centre for Educational Measurement, University of Oslo

• Visiting Student, Summer 2024
• Advisor: Esther Ulitzsch
• Topics: Mixture Modeling

Lab for Big Data Methodology, University of Notre Dame

• Visiting Student, Summer 2021 & 2023
• Website: https://bigdatalab.nd.edu
• Advisor: Johnny Zhang
• Topics: Text Mining, Network Analysis, Longitudinal Analysis

Prof. Xinya Liang's Lab, University of Arkansas

• Visiting Student (Remote), Summer 2020
• Advisor: Xinya Liang
• Topics: Bayesian Regularization, SEM

Psychological Statistics and Modeling Lab, Sun Yat-sen University

• Graduate Student, Fall 2019 - present
• Advisor: Junhao Pan
• Topics: Bayesian Lasso CFA, Mediation, Longitudinal Analysis

Research Experiences on Substantive Topics

• 2024 - present LEVANTE Project, Language & Cognition Lab, Stanford University
• 2023 - present ROAR Project, Brain Development & Education Lab, Stanford University
• 2022 - present Chariot Program, Lucile Packard Children's Hospital, Stanford University
• 2021 The Science of Well-being Institute, Guangdong, China
• 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.