Curriculum Vitae

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Last updated April 2026


Education

2025 – 2026
(expected)
M.S. in Data Science University of Southern California, Los Angeles, CA
GPA: 4.00 / 4.00
2024 – 2027
(expected)
M.A. in Communication Data Science Tsinghua University, Beijing, China — Dual Degree Program with USC
GPA: 4.00 / 4.00 · Ranked 1 / 114
2020 – 2024
B.A. in Communication Wuhan University, Wuhan, China

Research Experience

2025.06 – 2025.12
Research Assistant, Vanke School of Public Health Tsinghua University · Mentor: Prof. Kun Tang

Contributed to the design of an RCT evaluating AI-assisted point-of-care ultrasound (POCUS) in East Africa. Developed qualitative interview protocols and analyzed survey data (N = 71,644) on sexual and reproductive health among Chinese college students; contributed to two manuscripts under review.

2024.06 – Present
Research Assistant, Center for Global Health and Development Tsinghua University · Mentor: Prof. Liang Chen

Conducted quantitative analysis and visualization of social media data on public opinion dynamics. Analyzed matched and paired-sample datasets; contributed to manuscript preparation resulting in an accepted publication at Mass Communication and Society.

2022.06 – 2024.06
Research Assistant, Media Research Center Wuhan University · Mentor: Prof. Qingxing Dong

Applied agent-based modeling (ABM) to simulate cross-platform misinformation diffusion. Designed and analyzed experimental studies on AI-assisted fact-checking and misinformation correction, leading to an ICA 2024 conference presentation.


Honors & Awards

2026
Top Student Paper Award Science Communication Division, International Communication Association (ICA)
2026
USC Annenberg Student Success Fund
2025
Graduate Student All-Round Excellence Award (First Level) Tsinghua University
2024
Outstanding Graduate · Outstanding Undergraduate Thesis Award Wuhan University
2022 – 2024
Multiple Scholarships, Wuhan University Creative Learning · Entrepreneurship · Innovation Achievement (First Level) · Special Scholarship · Outstanding Student Scholarship

Technical Skills

Computational
Text mining, sentiment analysis, topic modeling (LDA), network analysis · LLM APIs, prompt engineering, retrieval-augmented generation (RAG), machine learning for classification and prediction
Empirical
Experimental and survey design · quantitative statistical analysis · qualitative interviews, focus groups, and thematic coding
Tools
R · Python · Stata · SPSS · Mplus · NetLogo · LaTeX · Git · Tableau · n8n