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, and provide professional service as an advisory board member for Computational Humanities Research and Analitica - Revista Online di Studi Musicali as well as reviewing service for several conferences and journals (see CV).

Before my appointment to JMU, I have worked as a Research Fellow in Cultural Analytics at University of Amsterdam (Media Studies Department & Data Science Centre), and before that as doctoral and postdoctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL)’s Digital and Cognitive Musicology Lab. Supported by the German Academic Exchange Service (DAAD), I visited the Department of Linguistics and Philosophy at the Massachusetts Institute of Technology (MIT) as a research PhD student and spent a semester at Escola Superior de Música de Catalunya (ESMUC) funded by the ERASMUS program of the European Union.

Research Interests

Computational Musicology · Corpus Studies · Music Theory & Analysis · Digital Humanities · Artificial Intelligence · Cultural Evolution