About
Audio researcher, engineer and sound artist.
I develop audio tools and interactive sound systems, working across audio plugin development, real-time DSP, audio model training, and live performance. My tools include C++/JUCE, Python, PyTorch, and Max/MSP.
I am a Ph.D. candidate in Computer Music at the University of California, Santa Barbara, and hold an M.S. in Media Arts and Technology from UCSB. My technical work is informed by a practice in composition, sound design, and critical listening.
I develop audio analysis plugins in C++/JUCE, including FFT-based spectral analysis, peak detection, feature-to-MIDI mapping, and smoothing. My SPEKANA plugin turns audio features into MIDI notes and control messages for creative music workflows.
My work with RAVE includes preparing approximately 150 minutes of experimental vocal recordings, training models, comparing checkpoints through listening, and integrating neural synthesis into Max/MSP. I also build Python pipelines that connect pretrained vocal-analysis models to live effects over OSC.
I connect sensors and environmental data to generative sound using Arduino, C++, and Max/MSP. My live audio experience includes multichannel speaker mapping, performer-monitor routing, microphone placement, audio interfaces, mixers, and soundchecks.
Real-time audio analysis and audio-to-MIDI plugin. C++ / JUCE / VST3.
View on GitHubAn environment-responsive sound box connecting sensor data to generative music. Arduino / C++ / Max/MSP.
Explore the workI also work as a sound designer and film composer, with film work presented at the Venice Biennale and Busan International Film Festival. My artistic practice explores sound, voice, language, and the environments we inhabit.
I write poetry with grains of sound and discrete reality.