Matthew Rice
Research Engineer at Stability AI
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolMatthew Rice is a research engineer specializing in audio software and machine learning with a decade of experience spanning codec drivers, web audio, plugins, and embedded audio systems. Currently at Stability AI after roles at Tamber, Output Inc., and mayk.it, he blends hands-on DSP and systems work with ML research to build music and audio experiences. His background includes mixed-signal verification and next-generation codec driver development at Qualcomm, giving him rare cross-domain fluency from silicon-level power/IP concerns to high-level web audio UX. Trained in sound and music computing (MSc) and electrical engineering (BS), he often connects creative audio design with rigorous engineering constraints. Colleagues describe him as someone who moves seamlessly between production-grade audio software and experimental ML prototypes, with freelance web-audio work reflecting a long-standing commitment to end-user sound interaction.
10 years of coding experience
9 years of employment as a software developer
University of California, San DiegoMaster of Science - MS, Sound And Music Computing, Master of Science - MS, Sound And Music Computing at Queen Mary University of London
Github Skills (13)
python7
machine-learning7
deep-learning6
data-visualization6
spectrogram6
ui-components6
data-analysis6
data-science6
react4
typescript3
tagging3
gradio3
gradio-interface1
Programming languages (6)
Github contributions (5)
ListeningToWaves/Spectrogram
Nov 2017 - Oct 2019
Interactive Web Spectrogram
Contributions:3 PRs, 121 pushes, 7 branches in 1 year 10 months
interactive-webspectrogram
witium/Oscilloscope-v2
Oct 2018 - May 2019
Implementation of OscilloscopeTesting with the power of React!
Contributions:202 commits in 6 months
reactjsreacttypescriptpower
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