I am a second-year PhD in Biostatistics student in the Department of Biostatistics. Before joining UW Biostatistics, I was a research scientist at the NYU School of Medicine Division of Biostatistics.

Currently, I am working as a research assistant to Dr. Pamela Shaw at KPWHRI on using the compositional data analysis and the latent profile analysis to summarize 24-hour activity cycle, and exploring associations of time exchange between physical activity, sedentary behavior, and sleep, with cognitive function in a cohort of older adults.

Besides the RA work, I have been working with Dr. Ting Ye through independent study. The research is in the context of Multivariable Mendelian Randomization (MVMR), a design that uses genetic variants as instrumental variables to infer the causal effect of multiple, potentially correlated modifiable exposures on an outcome. My work focuses on developing a robust and scalable multivariable MR method, MVMR-dIVW (debiased inverse-variance weighted) estimator, which can effectively removes the weak instrument bias of the popular multivariable inverse-variance weighted method and can easily account for balanced horizontal pleiotropy.

In my spare time, I love playing backsetball, hiking, and cooking.