cv

Doctor of Philosophy in Biostatistics

University of Sunthern California, Los Angeles, CA

Master of Science in Biostatistics

Columnia University, New York, NY

Bachelor of Science in Biotechnology

China Agriculture University, Beijing, China

Graduate Research Assistant

University of Southern California, Los Angeles, CA

Advised by Dr. David V. Conti

• Clustering Analysis Integrating Omics data
  • Developed a clustering model (LUCID) to uncover the latent clusters by integrating multi-view data and extended LUCID to incorporate missingness in omics data.
  • Proposed an integrated variable selection framework for LUCID, based on L1 penalty.
  • Published and maintained an R package, LUCIDus on CRAN (current version is 2.2.0 with more than 20,000 downloads).
• Applied Data Analysis
  • Applied LUCID model to evaluate how prenatal exposure to PFAS associated with increased susceptibility to liver injury in children; created molecular signature for children at high risk of liver injury by using serum metabolomics data.
  • Conducted predictive modeling for Mediterranean diet adherence (KIDMED) and ultra-processed food consumption by using urinary metabolic profiling; evaluated model performance through Receiver-Operating Characteristic (ROC) analysis.

Internship in Product, Developement & Data and Statistical science

Genentech, SSF, CA (remotely)

Advised by Jennifer Borkowsky

• Independent Read Data Quality Check
  • Collaborated with biostatisticians, clinical scientists and software engineers across different functional groups and developed a pipeline to check quality of Independent Read data.
  • Developed a modularized R Shiny app to implement the proposed pipeline; the app was adopted by 2 clinical trial study teams.
• Automatic Clinical Trial Reporting
  • Enhanced EnableRF R package to automatically generate PowerPoint slides for clinical trial report, featuring user-specified content format and automatic pagination for long tables.

Graduate Research Assistant

Mount Sinai, New York, NY

Advised by Dr. Xiaoyu Song

• Worked on trans-eQTL identification using data from GTEx; developed a pipeline to analyze gene-SNP pairs among 3 tissues, which decreased the total time of analysis for a single tissue (number of computations larger than 4 time 10 to the power of 10) from more than 3 days to around 8 hours.

Undergraduate Research Assistant

China Agriculture University

Advised by Dr. Qun He

al-folio

• A beautiful, simple, clean, and responsive Jekyll theme for academics.

• Nobel Prize in Physics
• Matteucci Medal

• Max Planck Medal