Børge Andreassen is a Senior Data Scientist based in Oslo with nine years of experience applying machine learning to real-world engineering and medical problems. He completed a PhD at the University of Oslo developing deep-learning methods for 3D echocardiography, combining academic rigor with industry collaboration (including GE Vingmed) to localize cardiac anatomy. After consulting roles and systems engineering at Aker Solutions, he transitioned to data science positions where he blends systems thinking from subsea engineering with advanced ML practice. Now at Simula Research Laboratory, he focuses on research-driven data science at the intersection of healthcare and industry, bringing both hands-on model development and experience in large multidisciplinary projects. A less obvious strength is his sustained history of mentoring and outreach, showing he values translating technical work into learning and impact.
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