Bioinformatics scientist with hands-on experience analyzing large biological datasets and supporting collaborative research in genomics and immunology. I’ve managed projects on epigenetic factors affecting immune response (using Illumina 850K methylation data) and explored viral diversity with long-read PacBio sequencing. Comfortable using R and Python for data analysis and always willing to learn new tools. I enjoy working in diverse teams and communicating complex findings in a clear, straightforward way. Looking for opportunities to apply my research and data skills in the life sciences industry.
Machine Learning: scikit-learn, PyCaret, WEKA, MS Azure ML
Bioinformatics: PacBio long-read sequencing, BLAST, , Bioconductor, variant analysis
Data Visualization: ggplot2, matplotlib, seaborn, R Shiny
Pipeline & Workflow Management: Git, Linux, reproducible research practices
Data Integration & Analysis: Multi-omics integration