Andrew Mcleod is a researcher with 11 years of experience specializing in music information retrieval and language modelling for automatic music transcription, currently at Fraunhofer IDMT in Ilmenau. He holds a PhD in Informatics from the University of Edinburgh and has held postdoctoral and research positions at EPFL, Kyoto University and Emory, blending deep academic rigour with applied research. His work focuses on symbolic music language models that bridge signal processing and probabilistic sequence modelling, bringing NLP-inspired techniques to AMT tasks. Colleagues know him for translating complex musical structure into tractable computational models and for cross-disciplinary collaborations across music informatics labs. Not immediately obvious: his background spans both theoretical modelling and practical tooling, from PhD-era language models to hands-on research engineering in international labs. He combines a mathematician’s precision with a practitioner’s focus on reproducible, transferable research outcomes.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at The University of Edinburgh
BS/MS, Mathematics and Computer Science, 3.901, BS/MS, Mathematics and Computer Science, 3.901 at Emory University
A model for meter detection and alignment from live performance MIDI data.
Contributions:1 release, 134 commits, 10 PRs in 2 years 4 months
metermidialignmentlive-performanceaudio
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