Development Team

Bryan Pardo

You can find Bryan Pardo's website here. Bryan is an assistant professor in the Northwestern University Department of Computer Science with a courtesy appointment in Northwestern's School of Music. When he's not computing or teaching, he performs on saxophone with the performance-art ensemble Weave and also with the Spider Trio.

David Little

David's research interests fall between machine learning, signal processing, and psychophysics, particularly as they pertain to sound perception. He seeks to understand how machine systems can learn in ecologically realistic environments rather than in a laboratory setting. He's also interested in using psychophysical and physiological observations regarding animal plasticity (and stability) in these systems for two ends: 1.) to develop novel machine learning approaches 2.) to better understand the purpose and function of the observed biological properties. You can learn more at David's website.

Jinyu Han

Jinyu Han is a Ph.D. student in the Department of Electrical Engineering and Computer Science at Northwestern University. His current research interests include machine learning, digital signal processing, and their applications to audio analysis. He received his B.E. in Information Automation at Beijing University of Posts and Telecommunications (BUPT). You can find Jinyu's website here.

Zafar Rafii

Zafar Rafii is a Ph.D. student in Electrical Engineering and Computer Science at Northwestern University.

He received a Master of Electrical Engineering from Ecole Nationale Superieure d'Electronique et de ses Applications (ENSEA) in France and from Illinois Institute of Technology (IIT) in Chicago. Back to France, he worked one year as a research engineer in audio analysis.

Zafar is simply interested in sound in a scientific way, he would like to understand better how music works and why it pleases our ears. His current research interests include signal processing, machine learning and cognitive science. website

Zhiyao Duan

Zhiyao Duan is a Ph.D. student. His research interests mainly lie in music information retrieval, including multiple pitch estimation, source separation, tonality classification, music semantic analysis, etc. He tries to apply different machine learning methods to solve these problems. He received both his B.S. and M.S. degrees from Department of Automation in Tsinghua University in China. You can find Zhiyao's homepage here.

Harrison Gordon

Harrison Gordon is a senior studying computer engineering at Northwestern University. He is currently working on developing user interfaces and Rich Internet Applications for the Tunebot Vocal Search Engine. Outside of the lab, he has performed in theatrical productions at Northwestern and works as Director of Marketing for Gordon Multimedia Inc, as well as a Creative Consultant for their recently produced movie, National Lampoon Presents, "Robodoc".

Arefin Huq

Arefin Huq is a Ph.D. student in Computer Science at Northwestern University. He is interested in using techniques from Machine Learning and Music Information Retrieval to aid the process of creating and improvising music.

Mark Cartwright

Mark Cartwright is a Ph.D. student in the Department of Electrical Engineering and Computer Science and Northwestern University. He received an M.A. in Music, Science and Technology from Stanford University (CCRMA), and a B.Mus in Music Technology from Northwestern University. Before returning to Northwestern, he worked for two years at PacketVideo as an audio DSP engineer, working with audio codecs and post-processing algorithms for mobile devices.

As a musician, he plays bass guitar and electronics with Chicago 3-piece, volcano!. His research interests include making audio and music more accessible and malleable.