I am a tenure-track assistant professor for Digital Music Philology and Music Theory in the Institut für Musikforschung at Julius-Maximilians University Würzburg (JMU), Germany, part of the extended collegial board of the Zentrum für Philologie und Digitalität (ZPD), and member of the Graduate School Humanities (GSH).
In my research, I bridge concepts and methodologies from the humanities and the sciences, and aim to understand music and its structure from an inherently interdisciplinary perspective, involving fields such as musicology and music theory, mathematics, music information retrieval, data science and machine learning, music cognition, and the digital humanities.
One of my central interests lies in analysing large digital corpora in order to better understand musical styles, especially from a historical viewpoint. More specifically, I work with large symbolic datasets of musical scores and harmonic annotations. I am also interested in computational modeling of music and its perception, and am fascinated by quantitative approaches to model historical processes.
I teach courses covering a wide range of topics in music theory, computational musicology, and digital tools.

Modeling musical patterns in large corpora
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How algorithms reveal musical structure
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Building digital editions and research tools
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How musical traditions change and spread
ExploreTalks, interviews, and features
Journal Articles, Conference Papers, Datasets
We present DistlerCorpus, a corpus of Hugo Distler’s Der Jahrkreis op. 5.
This paper reports on an experiment extends a methodology to analyze and compare harmonic progressions at moments of formal segmentation in different styles based on corpora of Roman numeral annotations, and deploys it to the styles of Brazilian choro, Anglophone popular and jazz music.
What can we learn from the content of surviving medieval music manuscripts about their cultural context?
Accepted for publication.
Accepted for publication.
Accepted for publication.
Accepted for publication.
How many composers are we missing in RISM? What percentage of medieval sources of Gregorian chant have we already cataloged? How many differences in music prints do we expect to find between editions? How large is the coverage of songs from genres of a folk music tradition? And how close are we in estimating the size of the harmonic vocabulary of a large number of composers?
How much are we still missing?
We present a dataset of occurrences of so-called trope elements in manuscripts of European medieval chant.
Here, we introduce music-theoretically sensible notions of harmonic distance between chords, that allows us to arrive at more fine-grained results regarding relative influences of different kinds of harmonic relations on diachronic changes.
We introduce a novel perspective on set-class analysis combining the DFT magnitudes with the music visualisation technique of wavescapes.
In this study, we employ a computational model that formalizes music-theoretic conceptualizations of tonal space, and use it to infer the most likely interval distributions for pieces in a large corpus of music, represented as so-called ‘bags of tonal pitch classes’.
Hugo Riemann never set foot on American soil. His harmonic theories, however, did cross the Atlantic and fell on fertile grounds, inspiring a rich repertoire of methods for music analysis that is nowadays usually subsumed under the name of neo-Riemannian theories (NRTs)—decidedly in the plural form. In this essay, I will review the central characteristics of NRTs and will relate how they connect with Hugo Riemann’s original works.
We present a dataset of 264 annotated piano pieces of nine composers, composed in the long 19th century.
Here, we analyze more than 40 000 pieces of plainchant to better understand the evolution of modes and pitch distributions in a period of five centuries that saw the development of the Western modal practice.
We present MonodiKit, a Python library for the analysis and processing of medieval chant documents.
Es ist eine Tradition in Texten zu „Digitalität” in der Musikforschung, gleich zu Beginn festzustellen, dass diese bereits seit vielen Jahren zum festen Bestandteil des musikwissenschaftlichen Methodenrepertoires gehört. Ebenso ist es üblich, darauf hinzuweisen, dass diese „neuartigen Methoden“ ein ungeahntes Potential für unsere Disziplin freilegen können/sollen/werden, und dass es sich deshalb lohnt, in sie zu investieren. Eine andere Texttradition hingegen verweist darauf, dass der bisherige Ertrag von computergestützten Methoden allenfalls als mäßig beschrieben werden könne. Der Nachweis erstens der Neuheit und zweitens des qualitativen Zugewinns algorithmisch oder statistisch erzeugter Resultate gegenüber händisch in Eigen- und Einzelarbeit erzeugten Erkenntnissen stehe noch aus.
This paper introduces the 19MT-OMR corpus that can be used to test OMR models on a diverse set of sources. We illustrate this challenge by discussing several examples from this data set.
We introduce phantom curves, a novel music-theoretical concept based on the discrete Fourier transform (DFT), and document the creative process that led to their discovery
In this study, we determine the fundamental role of the line of fifths for the organization of tonal material by applying dimensionality reduction to a large historical corpus of pitch-class counts (ca. 1360–1940). We observe a historically growing trend in the exploitation of the fifths range, i.e. the size of segments that pitch-class distributions cover on the line of fifths. Moreover, we introduce the novel concept of pitch-class (co-)evolution.
We introduce wavescapes, a novel visualization method for tonal hierarchies that combines the visual representation of keyscapes with music analysis based on the discrete Fourier transformation (DFT) and illustrate it by analyzing compositions by Josquin, Bach, Liszt, Chopin, Scriabin, Webern, Coltrane, and Ligeti.
In this study, we use the Latent Dirichlet Allocation (LDA) topic model to discover tonal structures in a corpus of more than 2000 musical pieces from large historical range (ca. 600 years). and that the inferred topics have music-theoretically meaningful interpretations.
Conferences, workshops, and invited talks