Maxwell Tfirn is composer and performer based in Charlottesville, Virginia, where he is completing his PhD in Composition and Computer Technologies. He holds an MA in Music Composition from Wesleyan University, and a BM in Music Education as well as a performance certificate in percussion from the University of Florida. His current academic focus is on the derivation of spectra and sound generation through the processing and manipulation of image data. He has created a suite of Max/MSP patches, ‘Image to Sound Mapping’, that can be used for image-to-sound derivation and analysis. In addition to his composing, he has been working on the sonification and tracking of E.Coli movement (chemotaxis) and using this data to decipher trends in bacterial motion. Recently, Maxwells research is focused on using Neural Networks as wavetable creators. He also performs live improvised noise music using digital and analog electronics. Outside of his music, Maxwell creates digital glitch photography that uses audio concepts and synthesis as a means of image manipulation in Supercollider. Maxwell has had works performed at ICMC, SEAMUS, Electro Acoustic Barn Dance, Society of Composers, FEAST Festival, Technosonics, N_SEME, and Subtropics Music festival and was a featured composer for Share and more. His music has also been performed by Jack Quartet, Loadbang, MehanPerkins, Dither, Ekmeles, The New Thread Quartet, percussionists I-Jen Fang, pianist Seung-Hye Kim and Kenneth Broadway. He is currently studying with Judith Shatin and has studied with Anthony Braxton, Ted Coffey, Matthew Burtner, Paula Matthusen, James Sain and Ronald Kuivila.
As part of musical life and determination to learn a new unique instrument to perform, record and educate with, I have setup a gofundme page to help purchase a Hurdy Gurdy. Every little bit helps and is greatly appreciated. Please consider donating.
CV Tfirn to view Maxwell’s current CV
Check out Ben Fuhrman’s Patch In podcast. In the linked episode I am being interviewed about my research and music involving electromagnetic microphones, noise music and image processing.