Adam Talbot
Scientific Services Lead at Seqera
Warwick, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAdam Talbot is a Scientific Services Lead with a decade of experience building and deploying reproducible bioinformatics pipelines and cloud-enabled workflow infrastructure. Based in Warwick, he partners with customers at Seqera to operationalise Nextflow pipelines, optimise cloud execution (notably Azure Batch), and deliver robust integrations that scale from research to production. His background spans hands-on module and test development for the nf-core ecosystem, contributions to flagship tools like MultiQC, and maintaining Bioconda packaging and environments—skills that bridge DevOps, backend engineering and bioinformatics. Prior roles from industry and academia, including a PhD in systems biology, give him a strong grounding in experimental design and computational analysis. Colleagues rely on him for practical fixes that improve data handling and performance (for example refining Mosdepth parsing in MultiQC) as much as for strategic deployment advice. He combines scientific rigour with pragmatic engineering to help teams get pipelines running reliably at scale.
10 years of coding experience
8 years of employment as a software developer
Ph.D. Systems Biology Plant Molecular Biology, Ph.D. Systems Biology Plant Molecular Biology at University of Warwick
Github Skills (30)
go-modules10
docker10
package-management10
python10
groovy10
testing10
work-flow10
conda10
bash10
workflow-engine10
kernel-module10
cloud-infrastructure10
containerization10
dockers10
nextflow10
Programming languages (17)
Github contributions (5)
nf-core/modules
Jun 2022 - Jan 2023
Repository to host tool-specific module files for the Nextflow DSL2 community!
Role in this project:
Backend & Test Automation Engineer
Backend & Test Automation EngineerContributions:539 reviews, 11 commits, 189 PRs in 7 months
Contributions summary:Adam primarily contributed to the development of modules and testing infrastructure for the `nf-core/modules` repository. Their work included creating and modifying Nextflow modules, such as `vcf2maf`, `gatk4/leftalignandtrimvariants`, and `FASTP`, to support various bioinformatics tools and workflows. They also added and updated tests, demonstrating a strong focus on ensuring the functionality and correctness of the modules through comprehensive testing strategies, and addressed existing pipeline breaks.
nf-corehostnextflow-dsl2nextflowdsl2
nextflow-io/nextflow
Mar 2022 - Apr 2025
A DSL for data-driven computational pipelines
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:81 reviews, 38 PRs, 30 pushes in 3 years 1 month
Contributions summary:Adam primarily contributed to the backend infrastructure and cloud-related aspects of the Nextflow project, particularly in the integration with Azure Batch. Their work involved fixing bugs related to Azure Batch job termination and task deletion, optimizing resource utilization, and adding support for disk configurations and CPU/memory limits in Azure Batch tasks. These changes demonstrate a focus on improving the project's cloud-based workflow execution capabilities and optimizing its performance on the Azure platform. They also refactored the container options to use a StringBuilder class instead of string concatenation.
singularity-containersbioinformaticsawsdataflowslurm
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