Abbvie, Inc, Biostatistician, May-August, 2020
Supervisor: Yunxia Sui, Tian Feng and Yiran (Bonnie) Hu
Worked on missing-data handling in clinical trials.
Designed and implemented simulations to systematically evaluate the performance of different multiple imputation (MI) methods (MCMC, Monotone and FCS) based on SAS PROC MI, under MAR assumption.
Evaluated the performance of tipping point analysis and pattern mixture model under MNAR assumption.
Sep 2017-present, Provide statistical support for multiple principal investigators from different institutions.
Analyze various high-throughput multi-omics datasets, including metabolomics and RNA-Seq data, starting from preprocessing raw data using command-line tools to downstream analysis such as differentially expressed (DE) analysis, pathway enrichment analysis, dimension reduction, clustering analysis, and network analysis.
Involved in multiple breast cancer projects, such as meta-analytic outcome-guided clustering in breast cancer research, analyzing clinicopathological characterization and clinical outcomes using 20-year cancer registry data from UPMC, transcriptomic landscape with tumor immune infiltration, etc.
Work on together to prepare peer-reviewed publications and posters.
CMU ML10-725: Convex Optimization, Fall 2019
STAT2194: High-dimensional Statistics, Spring 2019
HUGEN2040: Molecular Basis for Inherited Disease, Fall 2019