Selected research, scientific software, and infrastructure spanning computational genomics, biological networks, HPC, and biomedical data and knowledge integration. View more on GitHub and in publications.

Selected Projects

PAH-NETWORK-ANALYSIS

An in-progress PAH analysis that combines WGCNA co-expression modules, PANDA gene regulatory networks, and TF/pathway activity inference to prioritize interpretable disease regulatory programs.

MECFS-COHORT-ANALYSIS

A reproducible analysis of transcriptomic and phenotypic data from an ME/CFS cohort, supporting precision interpretation of rare monogenic variation and disease-associated pathways.

KG-LLM-BIO

A Neo4j and LLM template for biomedical knowledge graph applications, using PrimeKG to connect disease biology, graph traversal, and literature-aware bioinformatics reasoning.

OOD-HPC-DASH

A Flask-based Open OnDemand dashboard that makes HPC jobs, software modules, and cluster resources easier for scientists to inspect and manage in shared research computing environments.

HARMONIZOME

A Python client library for programmatic access to the Harmonizome API, supporting large-scale gene-attribute queries and dataset integration.

MICROBIOMER

An R package for simplified and standardized microbiome analysis workflows, supporting reproducible exploration of microbial community data.

ORTHOEVOLUTION

A Python package for ortholog analysis and visualization, designed to lower barriers for comparative genomics analyses.

LABRAT

A reproducible scientific infrastructure framework for computational biology labs, standardizing project structure, workflow organization, and experiment tracking so analyses are easier to reuse and audit.

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