Summary
Allan Nielsen is an assistant professor and multi-disciplinary machine learning researcher based in Odense, Denmark, with five years of experience applying state-of-the-art methods across medicine, digital humanities, and IoT. He blends academic research—currently on infrared control for seafloor sampling and online line-scanning anomaly detection—with industry-facing AI consulting and conversational system deployments. With dual backgrounds in IT & Cognition and computer science/economics, he excels at translating complex models into practical solutions, from teaching statistics and Python to advising executives on digital transformation. Notably, he pursues ambitious future projects like multi-modal medical image classification and high-speed aerial panoramic stitching from drone video, reflecting a persistent focus on novel, application-driven ML.
6 years of coding experience
1 year of employment as a software developer
MSc, IT and Cognition, MSc, IT and Cognition at Københavns Universitet - University of Copenhagen
Exchange at Faculty of Business and Economics, Economics, Exchange at Faculty of Business and Economics, Economics at KU Leuven
HHX (Upper Secondary), Globalization, HHX (Upper Secondary), Globalization at Handelsgymnasiet Vestfyn
Summer School, Business Intelligence and Digital Innovation, Summer School, Business Intelligence and Digital Innovation at Aarhus University
BSc, Economics and Business Administration, BSc, Economics and Business Administration at Syddansk Universitet
Danish, English, German, Japanese