Evan Floden
CEO & Co-founder at Seqera
Barcelona, Catalonia, Spain
Summary
🤩
Rockstar🎓
Top SchoolEvan Floden is the CEO and co-founder of Seqera Labs, leading development and support for Nextflow to make scalable, reproducible data analysis accessible to scientists. With a PhD in Biomedicine and 12 years across bioinformatics, biotechnology, and research roles, he bridges domain science and production-grade software. He has hands-on experience from tissue-regeneration platforms at Aroa to contributions at the Sanger Institute and streamline-focused Nextflow documentation and training automation on GitHub. Based in Barcelona, he combines technical leadership with practical DevOps skills—containerization, environment automation, and CLI documentation—to lower the barrier for complex genomic workflows. Evan’s work uniquely blends academic rigor with startup execution, enabling research teams to adopt modern software engineering practices in genomics.
12 years of coding experience
7 years of employment as a software developer
International Masters in Bioinformatics Biomathematics Bioinformatics and Computational Biology, International Masters in Bioinformatics Biomathematics Bioinformatics and Computational Biology at Alma Mater Studiorum – Università di BolognaDoctor of Philosophy - PhD Biomedicine, Doctor of Philosophy - PhD Biomedicine at Universitat Pompeu FabraBSc Biotechnology, BSc Biotechnology at Victoria University of WellingtonWhanganui Collegiate School
English, Spanish, Italian
Github Skills (21)
docker10
bash10
workflow-engine10
containerization10
dockers10
nextflow10
automation10
workflow-automation10
trainings10
pipeline10
automations10
argo-workflows10
documentation10
cli10
conda9
Programming languages (16)
Github contributions (5)
nextflow-io/training
Aug 2020 - Jun 2022
Nextflow training material
Role in this project:
DevOps Engineer
DevOps EngineerContributions:1 release, 38 commits, 4 PRs in 1 year 10 months
Contributions summary:Evan focused on setting up the environment and automating tasks for the Nextflow training material. They created scripts to resize the boot disk, install necessary software like Java, conda, and singularity, and configure the environment. The commits also included pulling a Docker container, indicating a focus on containerization and deployment aspects of the training. These actions likely contributed to creating a repeatable and functional training environment for users.
nextflowtrainingtraining-materialworkflowpipelines
nextflow-io/nextflow
Apr 2017 - Oct 2020
A DSL for data-driven computational pipelines
Role in this project:Technical Writer
Technical WriterContributions:3 reviews, 11 commits, 6 PRs in 3 years 6 months
Contributions summary:Evan's contributions primarily focused on updating and expanding the project's documentation. They updated FAQ entries, conda-related documentation, process-related documentation, configuration details, and Google Cloud integration guides. The user also added a new command line interface (CLI) documentation page. This work enhances the usability and understanding of the Nextflow platform for end-users.
singularity-containersbioinformaticsawsdataflowslurm
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