Axine M + Bridget Ferrill & slaug Magnsdttir with support from Toi Guy

Axine M is the moniker of music artist Maxine de las Pozas. The Ancient Greek Axenos, or "inhospitable place," is a name for the Black Sea before nautical technology was advanced enough to safely traverse the water. Axine M is a vessel for musical inquiries and creative impulses across multiple genres and sentiments, carving out a space for itself against the grain of the dystopian imaginary. A recent self-released tape, USUSUSESESERERER (pronounced "user"), is a songwriterly exploration of interpersonal relationships under late-capitalism. Axine has published tapes with Summer Isle and Embalming Lately, a label she co-founded. As a DJ, Axine has mixed for c-, BIZAARBAZAAR, DUST, Hong Kong Community Radio, and The Lot Radio, among others. Maxine holds a master's degree in Music Technology from NYU Steinhardt, where she focused on the design of novel music controllers for live performance. Versions of her thesis were published in the proceedings of New Interfaces for Musical Expression (NIME 2020) and International Computer Music Conference (ICMC 2021). As Axine M, she was a 2024 Issue Project Room Artist in Residence. Maxine was an active participant and sound engineer at Chaos Computer, in Brooklyn. She works as a Sound Engineer and Technician.

Bridget Ferrill & slaug Magnsdttir
The release of the duos collaborative album Woodwind Quintet(Subtext, 2022) showcased their exploration of the complexity of composition by fracturing, deconstructing and interweaving classical elements in intimate and unexpected arrangements. The Berlin-based Ferrill is a composer, engineer, and synthesizer builder. By venturing into the realm of extended instruments, handmade electronics and experimental computer music, she explores the interface between noise and composition. Copenhagens slaug Magnsdttir approaches instruments as a sculptor, pushing the boundaries of conventional music while also engaging in music programming, constructing interactive systems characterized by noise-based behaviors.