Christian Steinmetz
Research Scientist at Suno
Cambridge, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolChristian 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 UniversityMaster of Science - MS Sound and Music Computing, Master of Science - MS Sound and Music Computing at Universitat Pompeu FabraDoctor of Philosophy - PhD Artificial Intelligence and Music, Doctor of Philosophy - PhD Artificial Intelligence and Music at Queen Mary University of London
Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (63)
pytorch10
loss-functions10
mixing10
spectrogram10
signal-processing10
mir10
audio-processing10
spotify-api10
dtw10
spectral10
autoencoder10
plugin10
audio10
pitch10
juce10
Programming languages (8)
Github contributions (5)
csteinmetz1/pymixconsole
Sep 2019 - Apr 2021
Headless multitrack mixing console in Python
Contributions:185 commits, 1 PR, 4 pushes in 1 year 7 months
mixingpythonconsolepython3multitrack
csteinmetz1/auraloss
Oct 2020 - Jan 2023
Collection of audio-focused loss functions in PyTorch
Contributions:4 reviews, 114 commits, 56 PRs in 2 years 3 months
pytorchaudio-processingloss-functionsspectrogramaudio
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