Martin Andersen is a quantitative researcher at Norlys Energy Trading A/S, forecasting energy markets by turning diverse data into actionable machine-learning features. He develops apps for automated trading and interactive visualizations that let stakeholders explore model results. Based in Aalborg, Denmark, he thrives in agile teams and enjoys solving complex tasks at the intersection of data science and energy markets. His background spans biotechnology and bioinformatics, with an MSc in Engineering Biotechnology from Aalborg University and PhD-level work analyzing biomass sampling variances and sequencing workflows (Nanopore vs Illumina). He previously consulted on microbiome data analysis at DNASense, building data QC workflows and delivering reports for around 100 customers. With a decade of experience and a passion for renewable energy, he combines rigorous data quality with practical, production-ready ML solutions.
11 years of coding experience
1 year of employment as a software developer
Master of Science (MSc) in Engineering, Biotechnology, Master of Science (MSc) in Engineering, Biotechnology at Aalborg University
Research visit, Anaerobic Digestion, Research visit, Anaerobic Digestion at The University of Queensland
Contributions:2 pushes, 1 branch, 1 issue in 3 years 4 months
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