Matt Oates is a Staff Engineer based in Bristol with 13 years of experience building data-driven, bioinformatics and genomics platforms that bridge research and clinical diagnostics. His background spans roles from Principal Scientist and Director of Science to Chief Data Officer, where he has led teams to turn complex biological data—telemetry, genomics and ontologies—into performant, production-grade systems and actionable insights. He blends deep academic training (PhD in Complexity Science/Computational Biology) with hands-on software engineering, frequently delivering distributed processing and real-time models for personalised fitness and genetic-diagnostic products. Known for ideation and learning, he excels at connecting domain science to pragmatic engineering, and has repeatedly taken contractor roles to solve high-impact problems for Genomics England–related projects. A practical polymath, he pairs systems-level architecture with low-level integrations (eg. robotic sensors and performant genomic representations) to accelerate translational outcomes.
Mask and assign protein sequences with ELM motif regions
Contributions:3 releases, 8 PRs, 39 pushes in 6 years 1 month
autoencodermaskregionselmmotif
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