I am a PhD student of Martin Rohrmeier in the Digital and Cognitive Musicology Lab (DCML) at École Polytechnique Fédérale de Lausanne (Switzerland) and am primarily interested in Computational Music Analysis, Music Theory, Music Cognition, and their mutual relationship. I work with large symbolic datasets of musical scores and harmonic annotations. My main thematic focus lies on chromatic harmony, or extended tonality.
"Transitions of Tonality: Data-Driven Investigations of Harmony Beyond the Common Practice" (Working title)
Harmony is one of the main parameters of tonal music and has been the primary scope of music theoretical scholarly work for centuries. While music theorists agree that harmony is a rule-based system, there are many different approaches to express these relationships. Both theoretical and empirical research on musical syntax have focused on harmonic phenomena of the common-practice period (approx. from Bach to Beethoven). Yet, many questions remain open regarding extended tonality (approx. Schubert to Mahler).
My PhD project aims to identify particularities of harmony in Western musical pieces in the 19th century ("Extended Tonality") by applying computational corpus methods to symbolic representations of musical scores. The study encompasses several strands of research on (a) how music theoretic concepts regarding Extended Tonality can be framed coherently, (b) how those can be formalized using statistical and probabilistic models, and (c) how the theoretic predictions can be explored empirically with computational methods.
Digital Musicology, Music Cognition, Musical Syntax, Music Theory and Analysis, Computational Models of Music, Musical Corpus Research, Music and Language, Mathematical Music Theory