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David Meredith is a prominent figure in the field of computer science with a robust focus on Machine Learning and Artificial Intelligence. His research spans several critical areas including algorithms, music information retrieval, computational music analysis, and mathematical music theory. With numerous publications from 2001 to 2025, he has contributed significantly to understanding how technology intertwines with music. Meredith's work often explores the theoretical underpinnings of music technology and its practical applications in enhancing educational methodologies particularly in music therapies. He is also known for his collaborative projects, such as MusAIc-move, which illustrates the innovative fusion of artistic expression and rehabilitative practices through interactive music technology. In addition to his research, Meredith is actively engaged in editorial roles, serving as the Editor-in-Chief of the Journal New Music Research published by Taylor Francis Group, where he influences the academic discourse on music-related technologies.
Aalborg University • Aalborg, Denmark
Leading research in computer science, focusing on artificial intelligence and machine learning.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.