Hanzhi Chen is an incoming PhD student in biomedical sciences at City University of Hong Kong. She is currently completing a Master of Science in biostatistics and data science at Cornell University, where she also works as a research assistant in the Department of Population Health Sciences. Her research focuses on public health and epidemiology, with interests in longitudinal data analysis, causal inference, and machine learning to infectious disease dynamics. She has worked on projects examining COVID-19 outcomes, including estimating the causal effects of vaccine allocation policies at the state level in the United States. She has also developed simulation frameworks and computational methods for phylogenetic tree analysis to study evolutionary patterns and transmission dynamics. She is broadly interested in applying statistical and computational methods to understand population-level health patterns and inform public health decision-making.