Summary
Chris Miller is a product specialist and researcher with 11 years of experience at the intersection of machine learning, digital signal processing, and music technology, currently based in Barcelona. He blends academic rigor—Master’s-level work in signal processing and research stints at NYU and École normale Supérieure—with hands-on product and education roles at Moog Music and in the modular synth community. His technical focus on wavelet-based feature engineering and probabilistic models for machine listening informs product decisions and user-facing teaching, from circuit design and Fourier principles to synthesis practice. Chris has a rare combination of audio research (HRTF dimensionality reduction, wavelet scattering for chord recognition) and practical systems work, having also implemented measurement hardware and customized trading systems earlier in his career. This mix of deep signal-processing expertise, pedagogy, and product experience makes him effective at turning research ideas into usable music technology.
11 years of coding experience
13 years of employment as a software developer
Master's Degree, Signal Processing / Music Technology, Master's Degree, Signal Processing / Music Technology at New York University
Staples High School
English, French, German, Spanish