About Me

Ziwen Ren (Kevin)

Music Technologist · Music Producer · Jazz Pianist

Ziwen Ren (Kevin) explores digital signal processing and machine learning for music and audio. His work spans guitar effect modeling, audio software development, and composition across jazz, electronic music, and electric jazz.

Portrait of Ziwen Ren

SELECTED PROJECTS

Music & Performance

Alongside his technical work, Kevin composes and performs across jazz and electronic music. His studies at Berklee included small-ensemble jazz piano, big-band composition, sound synthesis, mixing, and EDM production.

Listen to his music

Selected Recording

Into Electronic Skyrim

A cinematic electronic piece built around expansive timbres, rhythmic momentum, and a sense of movement through an imagined landscape.

Live Performance

Background

Originally from Wenzhou, China, Kevin studied classical piano before pursuing jazz performance and composition at Berklee College of Music. His curiosity about the structures behind harmony and sound led him to transfer to Electronic Production and Design, where he focused on digital signal processing and audio programming.

He developed synthesis and effects projects using Max/MSP, Csound, and C++. During his final year at Berklee, he explored several approaches to guitar effect reconstruction before building a model based on DDSP.

His ongoing interests center on audio machine learning and creative music tools. He aims to connect technical research with the practical needs of musicians and producers.

Research interests
Audio machine learning, effect modeling, digital signal processing
Tools & languages
C++, JUCE, Max/MSP, Csound

Contact