(2019–) Research Fellow, Department of Music, Trinity College, Dublin
(2019) Columbia University, Ph.D. Music Theory
(2013) Trinity College, Dublin, B.A. (Mod.) Music and Mathematics
Eamonn Bell and Laurent Pugin, “Learning to extract handwritten annotations from digitized images of musical scores,” in International Journal on Digital Libraries, Special issue on Digital Libraries for Musicology, July 2018. [publisher free-to-view link][doi]
“Hacking Jeff Minter’s Virtual Light Machine: Unpacking the code and community behind an early software-basedmusic visualizer” in Volume!, Special issue on Music and Hacking, November 2019.
“Choosing, using, and building effective software tools for research with symbolic music corpora” in The Oxford Handbook of Music and Corpus Studies. Edited by Daniel Shanahan, Ashley Burgoyne, and Ian Quinn. New York, NY: Oxford University Press.
“Information theory at the keyboard: Henry Quastler’s ‘Studies of Human Channel Capacity’ (1956)” at Computational Auditory Perception Research Group, Max-Planck-Institut für empirische Ästhetik, Frankfurt am Main, Germany (22 January 2019) [abstract][talk outline]
“‘Syntax-Based Analytic Reading of Musical Scores’: Music theory at the MIT AI Group 1965 to 1968” SIGCIS 2018, St. Louis, MO (October 2018)
“Active listening and the appropriation of high technology: A close reading of Jeff Minter’s interactive audio visualizer, The Virtual Light Machine”, Music and the Moving Image 2018, NYU Steinhardt (26-28 May 2018)
“Forms as algorithms: The case of the ‘normal form’”, Sound and Sonorities: Form and Forms in Music, Buffalo State College (SUNY Buffalo State) (27 April 2018)
Eamonn Bell and Laurent Pugin, “Approaches to handwritten conductor annotation extraction in musical scores” at Digital Libraries for Musicology Workshop 2016, New York, NY (12 August 2016) [proceedings][slides]
Eamonn Bell and Jaan Altosaar, “Applications of Word Embedding Models to a Classical Music Corpus: Stylistic Analysis and Composer Classification” at Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML) 2016, New York, NY (23 June 2016) [paper][slides]
(Spring 2019) Teaching Assistant, Theory I (Prof. Ben Steege)