CV

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🎓 Education

• University of California, Los Angeles
  Ph.D. in Biostatistics, GPA: 4.0/4.0 (Sep. 2022 – Present)
  M.S. in Biostatistics, GPA: 4.0/4.0 (Sep. 2020 – Jul. 2022)

• The Hong Kong Polytechnic University
  B.B.A. (Hons) in Financial Services, GPA: 3.5/4.0
  Minor in Applied Mathematics, GPA: 3.6/4.0 (Sep. 2015 – Aug. 2020)
  Outstanding Academic Achievement Award

🔬 Research Interests

• Causal Inference
• Survival Analysis
• High-dimensional Data
• Statistical Machine Learning

🧪 Research Experience

Topics in Prediction and Causal Inference for Complex Survival Data

Supervisor: Dr. Gang Li, UCLA (Jun. 2022 – Present)

• Developed IV-based methods for censored restricted mean survival time (RMST)
• Proposed doubly robust estimators for high-dimensional confounding
• Designed pseudo R² measures for evaluating competing risk prediction

Modeling Epidemiological Dynamics

Supervisor: Dr. Daihai He, The Hong Kong Polytechnic University (Aug. 2020 – Aug. 2021)

• Built SEIR models and simulated inter-city COVID-19 spread
• Developed machine learning risk prediction for drug-induced liver injury
• Modeled ICU resource shortages using clinical and social media data

Teaching Experience

University of California, Los Angeles (2023 – Present)

• TA for: Mathematical Statistics (202A/B), Linear Models (250A), Multivariate Biostatistics (250C), Survival Analysis (215)

Emory University – SISMID Program (Jul. 2024)

• TA for: Simulation-based Inference for Epidemiological Dynamics
  Focus: Partially Observed Markov Process (POMP) models

🏥 Statistical Consulting

Statistician, COPD Program, UCLA School of Medicine (Jul. 2022 – Present)

• Collaborated with clinical researchers to design studies and interpret complex medical data
• Produced analyses and visualizations for ongoing research projects