Hi! I’m currently a Ph.D. student in the Information Sciences and Technology (IST) at Penn State University, where I am advised by Dr.Justin Silverman. My research interest is to develop statistical and machine learning models for complex data, particular in Bayesian parametric and nonparametric methods for time-series analysis of genomic and microbiome data. My recent work focuses on causal estimation in the presence of model misspecification and unmeasured confounding.

Before pursuing my Ph.D., I worked as a statistician at the FDA in the Center for Drug Evaluation and Research (CDER). I also earned a concurrent master’s degree in Applied Statistics and International Affair from Penn State, and a bachelor’s degree in Business from Peizheng College.

Key Words: Generalized Gaussian Process Regression, Conformal Prediction, Causal Inference, Count Compositional Data, Microbiome Data, Time Series Analysis