Bioinformatics Scientist | Multiomics 路 Systems Biology
I develop computational tools and analysis workflows to connect molecular measurements with biological questions. My work combines omics analysis, systems biology, statistical modeling, and scientific visualization in R and Python.
Embedded in the Metabolomics and Lipidomics Unit at Rocky Mountain Laboratories, NIAID, NIH, in Hamilton, Montana.
- Metabolomics & lipidomics: NMR- and mass spectrometry-based data analysis, preprocessing, quality control, and multivariate analysis.
- Transcriptomics: RNA-seq analysis, comparative gene expression, and pathway interpretation.
- Multiomics integration: Connecting metabolomic, lipidomic, and transcriptomic data to explore coordinated biological changes across molecular layers.
- Scientific software: Developing reusable analysis tools and visualizations that make computational methods accessible to biological researchers.
R 路 Python 路 Bash 路 Slurm 路 Git 路 Linux 路 Streamlit

