Sebastian Ruano
Research Assistant at DTU Biosustain
Copenhagen, Capital Region of Denmark
Summary
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Rockstar🎓
Top SchoolSebastian Ruano is a research-focused data scientist and bioinformatician with six years of experience applying network science, deep learning, and software engineering to multi-omics and cheminformatics problems. Based in Copenhagen and currently at DTU Biosustain, he develops open-source Python toolchains (VueGen, VueCore, ACore) that automate multi-omics reporting and visualization and contributed to a peer-reviewed Bioinformatics Advances publication. His work spans building knowledge graphs for wastewater microbiomes (MicW2Graph) to large-scale biodiversity data curation and ML classifiers used in a Proceedings B study, showing an uncommon blend of ecological and molecular-scale projects. An active member and leader in open-science communities, he bridges reproducible research practices with production-ready tooling, often turning exploratory analyses into reusable software.
6 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Systems Biology, Master of Science - MS, Systems Biology at Maastricht UniversityBachelor of Engineering - BE, Biotechnology, Bachelor of Engineering - BE, Biotechnology at Universidad San Francisco de Quito
Github Skills (72)
fastapi10
unix10
quarto10
nextflow10
kubernetes10
tensorflow10
pytorch10
docker10
machine-learning10
bioinformatics10
reveal-js9
package-management9
nf-core9
data-science9
conda9
Programming languages (11)
Github contributions (5)
sayalaruano/mlbookcamp-code
Sep 2021 - Sep 2022
The code from the Machine Learning Bookcamp book and a free course based on the book
Contributions:12 commits, 2 PRs, 9 pushes in 11 months
machine-learning
Multiomics-Analytics-Group/MicW2Graph
May 2024 - Mar 2026
A knowledge graph of the wastewater treatment microbiome and its biological context
Contributions:1 release, 1 PR, 15 pushes in 1 year 9 months
knowledge-graphnetwork-biologywastewater-treatmentmetagenomicsstreamlit-webapp
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