Benjamin Fields is Head of Data with 18 years’ experience blending academic research and product-focused data science to improve user-facing systems, especially music recommendation and playlist prediction. He has led data teams at Laka and the BBC, building predictive models and workflow analytics across heterogeneous production systems and data pipelines. His background in music informatics, DSP and semantic web technologies gives him a rare mix of signal-processing rigor and practical recommender engineering. Benjamin is curious about food and drink data and the Web of Data, applying linked-data thinking to real-world consumption questions. An occasional researcher and competitive cyclist who DJs, he thrives at the intersection of research, engineering and delightful user experiences.
18 years of coding experience
12 years of employment as a software developer
University of California Santa Cruz
PhD Computer Science, PhD Computer Science at Goldsmiths, University of London
MS Music Engineering Technology, MS Music Engineering Technology at University of Miami
Contributions:1 release, 23 commits, 8 pushes in 2 years 3 months
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