Catherine Provenzano
Assistant Professor of Musicology, Music Industry (Critical and Contemporary Perspectives on Music Technology); Music Industry, Musicology

Catherine Provenzano’s scholarship focuses on voice, instrumentality, labor, and technology as they intersect gender, race, and class in US popular culture. She is currently writing a cultural history and ethnography of pitch correction softwares (Auto-Tune, Melodyne), and researching the political economy of sound, media, and software in megachurch worship contexts. Catherine is interested in questions and formulations of musical/sonic value, and how these affect work worlds, the environment, and social relations. In 2019, she earned her PhD in Ethnomusicology from New York University with her dissertation, “Emotional Signals: Digital Tuning Software and the Meanings of Pop Music Voices.” Using ethnographic and historical methods, she shows how the practice of pitch correction in U.S. Top 40 and hip hop puts emotion at the center of the voice’s worth.

Catherine’s work appears in The Journal of Popular Music Studies, Musicology Now, and Guernica Magazine, among other outlets. She is also a singer, songwriter, and performer.

UCLA Faculty on Beyoncé and Challenge of Audience Silence
To help unpack the meanings of Beyoncé’s challenge to her audiences to self-mute, the LA Times turned to Stig Edgren (music industry), Catherine Provenzano (musicology), and Neal Stulberg (orchestral studies
Doctoral Student Lily Shababi Wins Ingolf Dahl Award
When Lily Shababi began her doctoral training in musicology at UCLA, her research mainly concerned American experimental art music of the late twentieth century. But a fascination with the niche
School of Music Welcomes New Faculty
This fall, The UCLA Herb Alpert School of Music welcomes several significant additions to its stellar roster of faculty. This group of gifted performers and experts expands the breadth and
David Leaf
Adjunct Assistant Professor of Musicology, Music Industry (Music Documentary, Songwriters)
Stig Edgren
Lecturer in Music Industry (Concerts and Live Events)
Amy Kathryn Kuney
Lecturer in Music Industry (Songwriting)
Adam Moseley
Lecturer in Music Industry (Studio Production)
Bobby Borg
Lecturer in Music Industry (Industry Fundamentals)
Judith Finell
Adjunct Professor in Musicology (Forensic Musicology)
Tiffany Naiman
Director of Undergraduate Programs; Academic Administrator for Music Industry (Critical Perspectives, Capstone Sequence)
Allison Wolfe
Lecturer in Music Industry (Music Journalism, Audio Storytelling)
Don Franzen
Adjunct Professor of Music (Music and Law, Forensic Musicology)
Natasha Pasternak
Lecturer in Music Industry (Songwriting, Touring, Songwriter’s Workshop)
Lauren A. Spalding
Lecturer in Music Industry (Music and Activism, Artist Management)
Thomas Hodgson
Assistant Professor of Musicology, Music Industry (Music and Data, Global Music Industry)
David MacFadyen
Professor of Musicology, Music Industry (History of Music Industry, Music and the Internet, Digital Humanities)
Jeffery Jampol
Lecturer in Music Industry (Artist Management and Promotion)
Jonathan Beard
Lecturer in Music (Electronic Music), Music Industry (Audio Engineering)
Mark Tramo
Adjunct Associate Professor of Neuroscience (Music, Mind, and Brain)
Monica Chieffo
Lecturer in Music Industry (Influence and Data Mining)
Gigi Johnson
Academic Administrator (Emeritus), Director, Center for Music Innovation
Jessica Schwartz
Associate Professor of Musicology, Music Industry (Punk and DIY)
Hans Fjellestad
Lecturer in Music Industry (Music Supervision)
Lauren Kop
Lecturer in Music Industry (Digital Production and Beat Design)
Dae Bogan
Lecturer in Music Industry (Entrepreneurship)
Lee John
Lecturer in Music Industry (Rock/Pop Ensemble)
Robert Fink
Chair of Music Industry Program, Professor of Musicology and Humanities (Music Theory, Analysis of Popular Music, Internships and Industry Partnerships)
Catherine Gregory
Lecturer in Music, Music Industry (Artistic Outreach and Citizenship)
Tony Brancato
Guest Lecturer in Music Industry (Influence and Data Mining)

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