Top expert inComputational Genomics and Bioinformatics Workflow Development
Jillian Rowe is an independent consultant and bioinformatics software engineer with 14 years designing and deploying high-performance computing platforms for genomics, molecular dynamics, and drug discovery. She architects reproducible, scalable HPC services—using AWS ParallelCluster, SLURM, FSx for Lustre, EasyBuild and IaC—to support multi-account deployments and self-service research compute for 50+ scientists across venture-backed biotech portfolios. A hands-on contributor to major open-source projects like conda, conda-build and Bioconda, she brings deep experience automating package builds and environment management that directly accelerates reproducible science. Jillian blends technical delivery with strategy, translating HPC and generative-AI solutions (AWS Bedrock, RAG) into board-level impact and faster experimental cycles. She’s known for rapidly deploying AlphaFold/ColabFold and other domain-specific workflows, and for turning complex lab needs into production-ready infrastructure and developer-friendly tooling.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Neuroscience, Bachelor of Science (BS), Neuroscience at Indiana University Bloomington
Master of Science (MS), Bioinformatics, Master of Science (MS), Bioinformatics at New York University - Polytechnic School of Engineering
Contributions:1 review, 644 commits, 316 PRs in 3 years 6 months
Contributions summary:Jillian primarily contributes to building and maintaining recipes for the bioconda channel, focusing on package management automation. They modify build scripts (build.sh) to integrate dependencies and build processes, especially for Perl-related packages, ensuring compatibility on different operating systems. Additionally, they update build scripts for specific software and libraries to build them within the conda environment, reflecting a focus on backend development and deployment procedures. They also integrate, and patch build steps and configure installation directories to ensure smooth package installation.
Collection of easyblocks that implement support for building and installing software with EasyBuild.
Role in this project:
DevOps Engineer
Contributions:29 commits, 4 PRs, 29 comments in 3 years 5 months
Contributions summary:Jillian primarily contributed to enhancing the EasyBuild framework by introducing and modifying easyblocks related to conda environments, including Anaconda and Conda create. They developed and refined easyblocks for creating and managing conda environments, incorporating features for installing packages and running custom commands post-installation. Significant changes involved adjusting how requirements are handled and the integration of environment configuration files.
pythoninstallinglinuxscientific-softwarehpc
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