About Me

As a jack-of-all-trades bioinformatician, I started in the biotechnology industry and slowly transitioned to academic biomedical research. I have a broad spectrum of experience through various roles in the biotechnology and healthcare industry, coupled with an even wider interest in all things intersection of biology and technology.

As a Research Bioinformatician at Cedars-Sinai, I apply my bioinformatics and scientific computing expertise to understand the gene regulation of epithelial ovarian cancer and endometriosis. I have over seven years of experience working collaboratively with bench scientists, graduate students, post-docs, clinical researchers, physicians, and bioinformaticians in various muti-omics and epidemiology projects.

I am skilled in scientific programming (bash, python, SQL, and R) and bioinformatics (pipeline development and data analysis for NGS-based omics) with working knowledge in HPC and cloud computing. I have led pilot studies for applying new NGS assays in ovarian cancer research, developed and documented best programming and data visualization practices, and mentored undergraduate interns in their bioinformatics projects. I also wrangled clinical/survey data and conducted statistical analysis. I am passionate about finding innovative solutions to complex biological problems and advancing the field of precision medicine.

Here is my full CV

My Selected Projects

• Tutorial/Presentation
  • Pak’s Lawrenson Comp Bio Cookbook, Recipes for common data visualization used in genomics analysis and general EDA at Lawrenson Lab
  • Exploring Spatial Omics and Beyond: A Bioinformatics Perspective, Invited talk given at Cedars Sinai Comprehensive Transplant Center
  • Computational biology journal club presentation
    • Intro to R Programming, Two-part R programming tutorial
    • RNA-Seq: Pipeline and Analysis, A gentle introduction to rna-seq pipeline and analysis for wet-lab biologists
    • CellChat, Two-part presentation on cell-cell communication analysis in scRNA-seq, including netSmooth, a network smoothing scRNA-seq imputation method
    • Peak Calling Algorithm Overview, Overview of peak calling algorithms used in ChIP-seq
• Analysis/Tool
  • Python
    • Ilummina InterOp QC Parser
    • “Anxiety and Depression Rates Between Women with and without Endometriosis” Data Analysis
• Pipeline
  • Cut and Tag Pipeline - Under Development

• Fun and miscellaneous

  • 10X Visium animation built in R tidyverse

  
  

  • Comparison of predicted SOX17 protein structure with dimethylated R150 between AlphaFold 2 + Vienna-PTM and AlphaFold 3 visualized in pymol