Summary
Arnor Sigurdsson is a postdoctoral researcher and bioinformatics engineer with 10 years of experience building automated data pipelines and integrating them with machine learning and deep learning models. With an M.Sc. in Bioinformatics and Systems Biology and a PhD in Biostatistics and Bioinformatics from the University of Copenhagen, he bridges academic rigor and production-focused tooling. He has contributed to national-scale life-science infrastructure at Computerome and helped launch data platforms that migrate legacy bioinformatics workflows to big-data technologies like Apache Spark. Comfortable across Python-driven pipeline engineering and ML model deployment, he has applied these skills to genomic reference data, large-scale visualization, and predictive modeling in both industry and academia. Based in Copenhagen, he combines hands-on development with research-led curiosity, often focusing on automating repetitive data tasks to accelerate discovery. A less obvious strength is his cross-cultural teaching and communication background, which helps him translate complex technical results for diverse stakeholders.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics and Bioinformatics, Doctor of Philosophy - PhD, Biostatistics and Bioinformatics at Københavns Universitet - University of Copenhagen
Bachelor of Science (B.Sc.), Biochemistry and Molecular Biology, Bachelor of Science (B.Sc.), Biochemistry and Molecular Biology at Háskóli Íslands
Technical University of Denmark
Hong Kong University of Science and Technology (HKUST)
English, Icelandic