Summary
Ada Madejska is a computational biologist-in-training pursuing a PhD in molecular biology with nine years of experience turning large genomic and microbiome datasets into reproducible analyses and web-accessible tools. She combines practical lab skills (PCR, gel electrophoresis, Western blotting) with strong coding in Python, R, SQL and Unix, having built pipelines and an R Shiny scRNA-seq app and quality-control workflows for large WGS projects. Her work spans ecology and evolution models—quantifying recombination in Pink Berry species and low-dimensional community competition models—alongside applied bioinformatics for human genomics and antibody design during an industry internship. Based in San Jose, she contributes openly on GitHub (including Nanopore consensus and QC pipelines) and brings a knack for turning messy experimental data into actionable insights. Outside the lab she channels precision and creativity into hand-made anime costumes and figure skating, signaling a blend of meticulousness and aesthetic problem-solving.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Cell/Cellular and Molecular Biology, Doctor of Philosophy - PhD, Cell/Cellular and Molecular Biology at UC Santa Barbara
University of California Santa Cruz
Polish, German, English