Alexandria Smith is currently an Assistant Professor of Music at the Georgia Institute of Technology. She received her Ph.D. from the University of California, San Diego, and holds an M.M. and B.M. from Mannes the New School for Music.

Alexandria specializes in recording/mixing/mastering music that mixes different genres and experimental music. Her work has been referred to by Downbeat as “splendidly engineered.” Alexandria’s recent project as tracking/mix/mastering engineer and co-producer of Grammy-nominated bassist Mark Dresser’s Tines of Change was favorably reviewed by Downbeat, the Wire Magazine, San Diego Union Tribune, Percorsi Musical, All About Jazz, jazz-fun.de-Magazin für Jazz Musik, and more and was rated as one of the ‘Best Solo Albums of the Year’ by bestofjazz.org and best of 2023 by Downbeat. She has worked on recordings by Basher, Filera (Carmina Escobar, Natalia Pérez Turner, and Wilfrido Terrazas), Alvin Lucier, Rand Steiger, Treesearch, TJ Borden, Judith Hamann, and more. Her audio engineering work can be heard on labels such as Pyroclastic Records, Infrequent Seams, Black Truffle, New Focus Recordings, 577 Records, 1980 Records, and Blank Forms.

Alexander Lerch is an Associate Professor at the School of Music, Georgia Institute of Technology. He received his "Diplom-Ingenieur'' (EE) and his PhD (Audio Communications) from Technical University Berlin. Lerch joined Georgia Tech in 2013 and teaches classes on music signal processing, computational music analysis, audio technology, and audio software engineering. Before he joined Georgia Tech, Lerch was Head of Research at his company zplane.development, an industry leader in music technology licensing. zplane technology includes algorithms such as time-stretching and automatic key detection and is used by millions of musicians and producers world-wide.       

Lerch's research focuses on teaching computers to listen to and comprehend music. His research field, Music Information Retrieval (MIR), positions him at the intersection of signal processing, machine learning, music psychology, and systematic musicology. His Music Informatics Group (http://www.musicinformatics.gatech.edu) creates artificially intelligent software for music generation, production, and consumption and generates new insights into music and its performance.

Lerch authored more than 40 peer-reviewed journal and conference papers. His text book "An Introduction to Audio Content Analysis" (IEEE/Wiley 2012) and the accompanying online materials at www.AudioContentAnalysis.org helped define educational practice in the field.

Gil Weinberg is a professor and the founding director of Georgia Tech Center for Music Technology, where he leads the Robotic Musicianship group. His research focuses on developing artificial creativity and musical expression for robots and augmented humans. Among his projects are a marimba playing robotic musician called Shimon that uses machine learning for Jazz improvisation, and a prosthetic robotic arm for amputees that restores and enhances human drumming abilities. Weinberg presented his work worldwide in venues such as The Kennedy Center, The World Economic Forum, Ars Electronica, Smithsonian Cooper-Hewitt Museum, SIGGRAPH, TED-Ed, DLD and others. His music was performed with Orchestras such as Deutsches Symphonie-Orchester Berlin, the National Irish Symphony Orchestra, and the Scottish BBC Symphony while his research has been disseminated through numerous journal articles and patents. Dr. Weinberg received his MS and Ph.D. degrees in Media Arts and Sciences from MIT and his BA from the interdisciplinary program for fostering excellence in Tel Aviv University.