Computational Musicology & Creative Technology
I am a composer, researcher, and postdoctoral fellow at the University of Music FRANZ LISZT Weimar. Born in Ukraine, I bridge computational musicology, machine learning, and artistic practice — making advanced analysis workflows accessible to scholars, students, and performers. Over the past decade I have led research-driven teaching, built open-source tooling, and supported live electronic music production.
Current Role
Postdoctoral Researcher, HfM Weimar (since 2025). Lead investigator on the DFG-funded project Development of a Comprehensive Cloud-Based Toolbox for Music Score Analysis, co-led with Prof. Dr. Martin Pfleiderer. I oversee a multidisciplinary team delivering collaborative annotation, statistical modelling, and pattern-discovery workflows for MEI and MusicXML corpora via Jupyter4NFDI, with a focus on method design, Python-based toolchains, and the integration of enhanced mei-friend capabilities for optical music recognition data.
Research Themes
- Symbolic and audio feature engineering for computational musicology
- Machine learning for timbre, rhythm, and structure analysis
- Human-computer interaction for performance, composition, and pedagogy
- Reproducible, notebook-driven research infrastructures for musicology and music theory
Technical Stack
- Analytical: Python (pandas, Jupyter, music21, librosa) · Lisp (OpenMusic).
- Audio production: Ableton Live, Logic Pro, Max/MSP, Sonic Visualiser · IRCAM tools (AudioSculpt, SuperVP, Partiels, SPAT) · live-electronics and multichannel rig design.
- Research transfer: Open-science practices, reproducible pipelines, curriculum development, project mentoring.
Selected Tools & Projects
- CAMAT — Python toolbox for symbolic repertoire analysis, co-developed with Prof. Dr. Martin Pfleiderer and Christon-Ragavan Nadar. Explore CAMAT
- AudioSpylt — Toolkit for audio feature extraction, interactive visualisation, and creative prototyping. View on GitHub
- FFTimbre — Notebooks and utilities for FM/additive-synthesis timbre matching with multi-metric evaluation. View on GitHub
- beat_it — Jupyter notebooks for analysing beat and tempo fluctuations. View on GitHub
Academic Appointments
- 2013–2025 — Researcher & Artistic Associate, HMT Leipzig: Seminars in computer-assisted analysis and electroacoustics; supervision of electroacoustic composition; management of the electroacoustic studios; technical support for concert events involving media and spatial audio.
- 2021–2022 — Researcher, HfM Weimar: Developed the CAMAT toolbox and piloted teaching applications across music programmes.
Education
- PhD in Musicology (Dr. phil.), HMT Leipzig, 2018 — Dissertation on computer-based analysis and visualisation of music; supervisors: Prof. Dr. Gesine Schröder and Prof. Dr. Martin Supper.
- Master of Composition, HMDK Stuttgart, 2014 — Studied with Prof. Marco Stroppa.
- Postgraduate Artist Diploma (Meisterklasse) in Electroacoustic Music, HMT Leipzig, 2013 — Mentored by Prof. Ipke Starke.
- Diploma in Composition, HMT Leipzig, 2010 — Studied with Prof. Peter Herrmann and Prof. Ipke Starke.
Languages & Memberships
- Languages: German (professional), English (professional), Russian (native)
- Professional bodies: GMTH (since 2016), DEGEM (since 2018), GfM (since 2024)
Contact
See my full CV for a complete list of projects and publications.