Duncan Maccannell
Director, Office Of Advanced Molecular Detection (OAMD) at Centers for Disease Control and Prevention
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolDuncan Maccannell is a public health and molecular detection leader with over a decade of experience translating genomic science into operational public health practice. As Director of the CDC’s Office of Advanced Molecular Detection, he builds equitable, standards-based bioinformatics and genomic epidemiology capacity that makes advanced laboratory technologies portable, reproducible, and broadly accessible. He previously served as the program’s Chief Science Officer and led genomic surveillance efforts for high-priority antimicrobial-resistant pathogens, combining deep expertise in pathogen genomics, molecular diagnostics, and high-performance computing. Trained with a PhD in Microbiology and Infectious Diseases, Duncan bridges rigorous research (SNP-based genotyping and multiplex diagnostics) with pragmatic workforce and data-sharing solutions. Based in San Francisco, he champions open science and sustainable global standards to expand the benefits of genomic tools beyond reference labs. An uncommon strength is his track record of operationalizing cutting‑edge genomics into routine surveillance systems that directly inform public health action.
10 years of coding experience
PhD Microbiology and Infectious Diseases, PhD Microbiology and Infectious Diseases at University of CalgaryBSc Biochemistry, BSc Biochemistry at McGill University
Github Skills (23)
sequencing10
bioinformatics10
protocols10
genomics10
virus9
genomes9
subsampling8
phylogeny6
pipeline5
structural-variation5
nmf4
snakemake4
genomics-visualization4
fastq3
bacteria3
Programming languages (2)
Github contributions (5)
asmngs/asmngs20
Sep 2019 - Dec 2020
ASMNGS20 - 2020 Conference Details
Contributions:47 commits, 4 PRs, 45 pushes in 1 year 2 months
details
CDCgov/spheres-augur-build
Sep 2020 - Mar 2021
This repository analyzes viral genomes using Nextstrain to understand how SARS-CoV-2, the virus that is responsible for the COVID-19 pandemic, evolves and spreads. This is a copy of the original Nextstrain ncov repository, which will (by default) build augur all 50 states + DC + PR using the same parameters and subsampling strategy.
Contributions:1 review, 9 commits, 3 PRs in 6 months
genomesspreadsstrategybioinformaticssars-cov-2
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