Bioinformatics Infrastructure Consulting on AWS
Design and implementation of elastic computing on for bioinformatics and genomics on Amazon Web Services, including: HPC clusters, R and Python Application Deployment, and customized servers for demultiplexing, RNASeq, Single Cell and Variant Detection.
I offer strategy calls in compute infrastructure and analysis optimization.
Do you want to automate and scale your compute infrastructure?
Do you have an analysis that will take the rest of your life to complete and you need to distribute it?
Whether you need a Python application deployed, a server setup, or you need to scale with a compute cluster, I can help.
Deploy an elastic HPC Cluster for genomics, with compute nodes that automatically scale up and down.
Why Work with Me?
Why work with me?
Over the course of my career, I have earned a robust reputation for outstanding genomics and bioinformatics DevOps, and I am known for my ability to design and integrate innovative, flexible infrastructures, leveraging in-depth client and business consultation to uncover critical, unique program needs. Throughout the years I’ve seen datasets grow in size and complexity (who remembers microarrays?) and worked with researchers to develop analysis infrastructure to accommodate the ever-growing demand for more number crunching.
I have consulted with the Bioinformatics Contract Research Organization (CRO) and BitBio to design and deploy a major manual-labor saving HPC cluster with integrated SLURM scheduler and user / software stacks, and elastic computational infrastructure for genomics analysis, empowering a greater focus on high-priority projects and activities.
I also designed and deployed complex data visualization applications on AWS such as NASQAR. I am both a contributor and core team member of Bioconda as well as a contributor to the Conda Ecosystem and EasyBuild.