Jorge Muriel is a Machine Learning Scientist based in Berlin with 7 years of experience at the intersection of computational biology, systems biology, and ML. He completed a PhD-focused trajectory in computational biology and bioengineering, with hands-on research across academia and industry including Bayer, Ginkgo Bioworks, and the Novo Nordisk Foundation Center for Biosustainability. His work spans genome-scale modeling, omics integration, microbial community modeling and applying deep learning to structural biology and gas fermentations. Jorge combines research rigor with production-minded engineering — contributing to open-source tooling such as integrating the vale prose linter into the popular null-ls.nvim Neovim plugin. He is skilled at turning complex biological data into actionable models and software that bridge lab and computational workflows. Colleagues value his blend of experimental familiarity and pragmatic software development.
7 years of coding experience
2 years of employment as a software developer
Technical University of Denmark
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at Universidad Politécnica de Madrid
Use Neovim as a language server to inject LSP diagnostics, code actions, and more via Lua.
Role in this project:
Back-end Developer
Contributions:2 reviews, 9 commits, 3 PRs in 22 days
Contributions summary:Jorge primarily focused on integrating the "vale" prose linter into the `null-ls.nvim` Neovim plugin. They implemented the initial integration of vale, handling its output and making several adjustments to correctly parse and display diagnostics. Subsequent commits refined the integration, including fixing output handling, offsetting column positions, and setting the end column correctly. They also enhanced the integration to use vale from stdin.
Contributions:17 pushes, 1 branch in 4 years 8 months
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