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  • Washington University in St. Louis
  • Saint Louis, MO

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jsweagley/README.md

Hi there! I'm James Weagley, Ph.D.

Computational Biologist | Multi-Omics Expert | Bioinformatics Lead

I'm a Computational Biologist living in Minnesota, currently working as a Postdoctoral Associate at Washington University. I specialize in integrating multi-omics data, bacterial and viral metagenomics, and statistical modeling to uncover mechanisms of health and disease.

With over 10 years of experience, I love building reproducible workflows and translating complex biological data into actionable insights for biomarker discovery, mechanistic breakthroughs, and precision medicine.

Excited to develop public software on Github following years of intra-institutional development.

🛠️ Languages and Tools

python R matlab bash

Workflow & Bioinformatics: Nextflow Snakemake Conda GATK Seurat QIIME2 MetaPhlAn Kraken2 Bioconductor

🔬 Scientific & Domain Expertise

Click to expand full list of Wet Lab, Clinical & Operational Skills
Category Skills & Competencies
Assay & Analytical Dev Assay Design/Validation/Transfer, NGS Library Prep, qPCR, Mass Spectrometry (LC-MS, GC-MS, LC-QqQ-MS, Q-TOF, MALDI-TOF), Flow Cytometry, Design of Experiments (DOE)
Domain Knowledge Human Microbiome, Metagenomics, Microbial Ecology, Virology, Immunology, Infectious Disease, Bacteriophage Biology, Metabolomics, Biochemistry, Molecular Genetics, Precision Medicine, Genomics
Wet Lab & Cell Culture Mammalian & Microbial Cell Culture, 3D Cell Culture, Anaerobic & Aerobic Microbiology, DNA/RNA Sequencing - data generation and analysis, sc-RNA-Sequencing
Quality & Operations Familiar with cGMP regulations, Quality Control (QC), SOP Development, Technical Documentation, Dry & Wet Lab Integration
Professional Technical Writing, Cross-functional Leadership, Independent Problem Solving, Troubleshooting, Collaboration, Self-motivated

🌱 I'm currently expanding into...

Real-world Evidence (RWE): Integrating electronic health records with genomic data.

AI & ML: Developing tools to generate actionable insights from complex biological data.

Medical Writing: Formalizing best practices for clinical and regulatory documentation.

👯 I'm looking to collaborate on...

Reproducible pipelines for metagenomic & viral community analysis.

Multi-omics integration (Genomics, Transcriptomics, Metabolomics - bulk, single cell, or spatial)

Tools for biomarker discovery, mechanism-of-action studies, and identification of relavant biological signals from complex multi-dimensional data.

📫 Connect with me

LinkedIn Email

Popular repositories Loading

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  2. ChAMP ChAMP Public

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  5. htcf htcf Public

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