I’m currently a PhD candidate in music theory at Yale University. My dissertation-in-progress involves the application of deep learning to music theory. I train masked language models for tasks in the analysis of harmony and dissonance treatment. I then use these models to perform a corpus study of a wide swath of Classical music.

I have many other theoretical and musical interests as well. You will find a selection of my publications, conference papers, and other work below.

Click on the titles below to see more about each item

2023

The Beginning of the Middle: Initiation and Reinitiation in Bach’s Binary-form Keyboard Works

Music Theory and Analysis (MTA) Volume 10.2.

When in Rome: A Meta-corpus of Functional Harmony

Gotham, M., Micchi, G., López, N. N., and Sailor, M. Transactions of the International Society for Music Information Retrieval.

2022

Efficient Rhythms

Society for Music Theory, 2022. Composition Interest Group.

2018

Modality and Alternative Functional Harmony in Diatonic and Non-diatonic Scales

Master's thesis, McGill University, 2018

Modality as the Negative Image of Tonality in Fauré’s Piano Trio, op. 120

Society for Music Theory, 2018

2017

The Insufficiently Stimulated Ear: A Corpus Study of Dissonance Treatment from DuFay to Victoria