Educational drug-interaction reference that checks what each drug's FDA label says about another. Fully client-side.
Biomedical data scientist working across neurodevelopment, immuno-oncology, and drug discovery. This site collects the tools, research, and open-source projects behind that work.
The work centers on integrating transcriptomics, metabolomics, and genomics data to understand disease mechanisms and evaluate treatment options. Recent projects are in pediatric neurodevelopment.
Methods — multi-omics integration, NGS & variant analysis, machine learning, and systems-biology modeling.
Tools you can use
Free, open-source, browser-based tools for computational biology. No install, no sign-up, and no data leaves your machine.
Gene-set over-representation analysis for human and mouse that runs entirely in the browser. GO, Hallmark, Reactome.
Drug-target exploration and repurposing-hypothesis tool built on Open Targets and openFDA.
Selected work
Neurodevelopmental data analysis
Multi-omics analysis of preterm-birth effects on brain development, with behavioral phenotyping in mouse models using DeepLabCut and B-SOiD.
Immuno-oncology & precision medicine
Cancer-genomics analysis across 500+ cell lines and immune-pathway interactions to identify therapeutic targets and biomarkers of treatment response.
Predictive disease modeling
Pathway models for autoimmune disease and cancer therapeutics, validated against patient data — the basis for two granted drug-repurposing patents.
Open-source scientific tools
MyVivarium, an open-source platform for managing research animal colonies (first author, CSBJ 2025), plus the browser-based tools above.