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Anders Launer Bæk-Petersen is an academic affiliated with the University of Southern Denmark, focusing on areas such as Mathematical Modelling and Machine Learning. He has completed a Master of Science degree with a concentration in Machine Learning and has worked on projects relating to Automated Decision Making and the General Data Protection Regulation, specifically concerning vehicle registration in Denmark. His work emphasizes the application of mathematical and computational techniques in real-world scenarios, showcasing a commitment to understanding and addressing current challenges in data privacy and decision-making processes. Bæk-Petersen has actively engaged in collaborative research, contributing to the advancement of knowledge in these fields. His involvement in various projects highlights his dedication to leveraging machine learning for practical applications. Through his studies and collaborations, he has developed a robust professional network, reflecting his active participation in the academic community. Additionally, he maintains a presence on platforms like ORCID to facilitate scholarly communication and networking.
Requirements are standardized for English-taught Master's programs across Science, Engineering, and Social Science departments. Some programs may require a higher GPA for restricted admission.