Fabian Moss was born in Cologne, Germany, and studied Mathematics and Educational Studies at University of Cologne, and Music Education (Major Piano) and Musicology at Hochschule für Musik und Tanz, Köln. He completed PhD in Digital Humanities at EPFL in 2019.

Fabian Moss  is a Research Fellow in Cultural Analytics at the Media Studies Department at University of Amsterdam (UvA). He is also affiliated with the Language & Music Cognition (LMC) research unit at UvA’s Institute for Language, Logic and Computation (ILLC). He engages with the activities of the Music Cognition Group (MCG) and the Amsterdam Music Lab (AML) as well as with the project Creative Amsterdam: an e-Humanities Perspective (CREATE).

Fabian’s research is inherently interdisciplinary and aims to bridge the humanities and the sciences. He draws on methods and concepts from Musicology and Music Theory, Mathematics, Music Information Retrieval, Data Science & Machine Learning, Music Psychology & Cognition, and the Digital Humanities. Working with large symbolic datasets of musical scores and harmonic annotations, he is primarily interested in Computational Music Analysis, Music Theory, Music Cognition, and their mutual relationship.

Before his appointment at UvA, he worked as a postdoctoral researcher in the Digital and Cognitive Musicology Lab (DCML) at École Polytechnique Fédérale de Lausanne (EPFL, Switzerland) for the project Distant Listening: The Development of Harmony over Three Centuries (1700–2000), funded by the Swiss National Science Foundation (PI: Martin Rohrmeier). He also directed the project Digitizing the Dualism Debate: A Case Study in the Computational Analysis of Historical Music Sources, supported by the EPFL-UNIL funding scheme CROSS – Collaborative Research on Science and Society.