Summary
Vegard Vinje is an applied mathematician and model-driven algorithm lead with 11 years of experience turning quantitative research into operational solutions across academia and industry. Currently responsible for models and algorithms at Hafslund and an associate professor at BI, he bridges rigorous PhD-level fluid mechanics and cerebrospinal fluid modelling with practical machine learning pipelines and data curation teaching. His background spans research leadership at Simula, consulting in analytics, and hands-on software/model development in C, Matlab and Python, enabling robust end-to-end implementations. Vegard also brings uncommon domain breadth — from developing physiological models during his PhD to running a ski-instruction business and coaching pro teams — demonstrating strong communication and real-world deployment instincts. He builds reproducible workflows and teaches applied data science, making him effective at translating complex math into usable products and curricula. Based in Norway, he pairs academic rigor with operational focus to deliver measurable impact in energy, education and analytics.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics and Computer Science, B, Bachelor of Science (B.Sc.), Mathematics and Computer Science, B at Universitetet i Oslo (UiO)
University of Oslo
Applied Mathematics, GPA: 3.714, Applied Mathematics, GPA: 3.714 at Loyola University Maryland
Norwegian, English