Bioinformatics Automations Consulting on AWS
Design and implementation of elastic computing 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.
DevOps for Data Science Tech Tutorials and Resources
If you're just looking around and want to learn more about the wacky world of Bioinformatics on AWS please check out my blog, where I have many free tutorials on various topics surrounding data science analysis automations and infrastructure.
If you're looking for more something more indepth while adhering to the DIY spirit those in tech all know and love, be sure to check out my store, where I host project templates, labs and courses.
Why Work with Me?
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 spent 10 years in academia working with Bioinformatics Cores. Since going freelance I have consulted with several biotech startups to design and deploy 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.