cat skills.md

Skills

Computational biology and bioinformatics at the intersection of genomics, machine learning, and biomedical data science. These are the tools and methods I use to analyze complex biological systems.

Bioinformatics & Genomics

  • Single-cell RNA-seq analysis (Seurat, Scanpy)
  • Bulk RNA-seq & differential expression analysis
  • Sequence alignment & genomic pipelines
  • STAR, SAMtools, DESeq2, MultiQC

Machine Learning & AI

  • Supervised & unsupervised learning
  • Dimensionality reduction (PCA, UMAP)
  • Feature engineering & clustering
  • Deep learning for biological data

Programming & Software

  • Python & R
  • Bash / Shell scripting
  • Java, C, JavaScript, HTML/CSS
  • Git, Docker, Linux/Unix
  • Jupyter Notebook & VS Code

Biomedical Data Science

  • Clinical & genomic data curation
  • Genotype-phenotype analysis
  • Tumor profiling & biomarker discovery
  • Statistical modeling & data visualization