Summary
Christian Steinmetz is a research scientist based in Cambridge, MA with a decade of experience specializing in AI for audio and music. He develops foundational generative audio models and differentiable signal-processing techniques, currently advancing music-focused AI at Suno after leading similar work at Tape It and internships at Adobe, Facebook, Dolby, and Bose. His academic path spans a PhD in AI and Music and an MS in Sound and Music Computing, and his publications include award-winning work on room acoustics and a JAES paper on automatic audio production. Christian blends hands-on engineering—MATLAB, Python, FPGA/embedded tooling, and production studio systems—with deep research, often translating prototypes into practical tools like denoisers and neural audio fingerprints. He has a track record of shipping research into product contexts and an uncommon breadth that links studio production, signal-processing hardware, and cutting-edge generative models.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at Clemson University
Master of Science - MS Sound and Music Computing, Master of Science - MS Sound and Music Computing at Universitat Pompeu Fabra
Doctor of Philosophy - PhD Artificial Intelligence and Music, Doctor of Philosophy - PhD Artificial Intelligence and Music at Queen Mary University of London
Spanish, English