Matthew Oldach is a Senior Consultant and experienced bioinformatician with a decade of delivering computational research solutions across academia, government, and consulting. He blends deep domain expertise in genomics and marine ecology with production-grade data engineering skills—R, Python, Docker, Spark, and cloud/HPC—to manage and analyze multi-terabyte studies and harmonize heterogeneous datasets. Highlights include building cloud workflows for coral genetics, an R package (vapoRwave) and a Shiny app (hinuhinu), an ROV image-analysis pipeline, and ML-driven spatial proteomics for oncology. He excels at turning messy, large-scale biological data into reproducible pipelines, documentation and SOPs that enable non-programmers to use complex tools. Comfortable in both hands-on analysis and stakeholder-facing roles, he often bridges wet-lab questions and scalable computational implementation. Based in Edmonton, he brings a rare mix of field experience (reef and ecological work) and production bioinformatics that accelerates translational research.
11 years of coding experience
3 years of employment as a software developer
NA, Coral Reef Ecology Program (CRE), NA, Coral Reef Ecology Program (CRE) at Bermuda Institute of Ocean Sciences
BsC, Marine Biology, Honours, BsC, Marine Biology, Honours at Dalhousie University
Master of Science (MSc), Biology/Biological Sciences, General, Master of Science (MSc), Biology/Biological Sciences, General at University of Calgary
📼👾🕹Vaporwave themes and color palettes for ggplot2💾👨🎤📺
Contributions:1 release, 59 commits, 25 PRs in 1 month
ggplotggplot2-themesggplot2palettedocker
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