Postdoctoral researcher · HfM Weimar
Computational musicology grounded in creative practice
I work in computational musicology and research software, drawing on composition and electroacoustic practice to build open tools for analysis, research, and teaching.
Current appointment
Research at HfM Weimar
At the University of Music FRANZ LISZT Weimar, I serve as scientific co-lead of the DFG project Development of a Comprehensive Cloud-Based Toolbox for Music Score Analysis (2025–2028) with project head Prof. Dr. Martin Pfleiderer. My role centres on scientific conception, research coordination, and technical delivery. We are building collaborative annotation, statistical modelling, and pattern-discovery workflows for MEI and MusicXML corpora through Jupyter4NFDI.
An integrated practice
Creative, technical, and analytical work
Each stage informs the next: composition led to electronic systems and production, which now shape how I design computational methods.
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01
Composition
Classical and electroacoustic composition, fixed media, live electronics, and multichannel work
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02
Systems
Max/MSP, OpenMusic, synthesis, hardware, and interactive analysis–synthesis workflows
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Realisation
Studio teaching and the artistic-technical realisation of concerts, installations, and productions
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Computation
Python, music encoding, reproducible audio and score analysis, and machine learning
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Current research
Practice-informed computational musicology, open research software, infrastructure, and team leadership
Open research software
Selected projects
CAMAT
Symbolic repertoire analysis with MEI/MusicXML, co-developed with Prof. Dr. Martin Pfleiderer and Christon-Ragavan Nadar.
Visit projectAudioSpylt
Audio feature extraction and interactive visualisation for analysis close to listening practice.
Visit projectFFTimbre
FM/additive timbre matching with multi-metric evaluation.
Visit projectbeat_it
Beat and tempo fluctuation analysis across electroacoustic and electronic repertoires.
Visit projectSelected activity
Recent highlights
- 2026 — Accepted workshop, Computergestützte Musikanalyse in der Cloud, GfM annual conference, Frankfurt am Main
- 2026 — Accepted talk, CAMAT_v2: Cloud-Based Tools for Collaborative Music Score Analysis, ICCCM26, Würzburg
- 2026 — Presented Beyond the Black Box…, InMusic26, Aalborg
- 2026 — Two chapters published in Routledge Innovation in Music volumes
Contact
Research, teaching, and collaboration
For professional enquiries, the most direct route is email.