I am an ethnomusicologist with a specialization in forced migration, humanitarianism, and refugee studies. My research examines how music intersects with a global humanitarian industry. My current project, The Aurality of Displacement: Hearing Humanitarianism and Migration to Jordan, focuses on listening and musical practices in the wake of over a century of forced migration to Jordan. My two years of fieldwork were supported by Fulbright-Hays, the American Center of Research in Jordan (ACOR), and UC Berkeley's Center for Middle Eastern Studies.
My next project shifts to France, where I have studied Algerian Andalusian musical traditions on oud. I am also experimenting with bringing AI music tools into the classroom.
Performance is a central part of my academic identity. I have performed as an oudist (and self-effacing vocalist) with Nedjma in eastern France, Awtar Amman in Jordan, Disoriental at UC Berkeley, and the St. Olaf Somali Music Ensemble in Northfield, MN.
I have also performed on many other varieties of instruments, including Javanese gamelan, koto, carillon, flute and other woodwinds, and various European medieval instruments. I can also play a touch of jazz piano.
I previously directed Disoriental, a Southwest Asian and North African music ensemble at UC Berkeley. Leading weekly rehearsals, I transcribed and arranged musical repertoire that is not commonly performed in the United States, such as popular songs from the Arab Gulf. More recently in Minnesota, I enjoyed learning and performing Somali songs on the oud through a collaborative public engagement project at St. Olaf College.
Syllabi, readings, assignments, and other course materials are available on individual course websites below.
The courses below represent a range of classes I have taught across varying institutional contexts — from small liberal arts college seminars to large lecture courses at R1 universities. Across these settings, my teaching is driven by skills and methods: students leave with concrete tools for listening analytically, conducting ethnographic research, and engaging critically with music as a social practice.
My interdisciplinary collaborations explore AI applications for music performance. Much of this work engages questions regarding power and representational politics in AI development: how do large, corporate AI music models, which typically trained on mainstream pop, stand to inform "traditional" and "classical" performance practices in the Global South? How might early interventions empower musicians to integrate local epistemologies and values within AI-driven tools?
I seek to combine teaching, research, and performance through this project. I've been working with a team of undergraduate student assistants, a music technologist, and a musician to train AI music models for Arab oud improvisation. We aim to make our fine-tuned model accessible for music teachers to implement in their courses.