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Amalie is Machine Learning Specialist and works with machine learning and data science based on different types of data. She has particular attention to text processing and takes part in a project with the aim of developing and improving open source tools for natural language processing in Danish.
In addition, she works with explainability and transparence in both NLP and machine learning in general.
She has a mathematical background with a bachelor's degree in mathematics and economics from Aarhus University and a Master of Science from Edinburgh University. In Edinburgh, she worked with machine learning, optimization and operation analysis, and the topic of her master’s thesis was reinforcement learning.