Nicholas Bryan
Research Scientist at Adobe Research
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNicholas Bryan is a Research Scientist in San Francisco with 12 years of experience at the intersection of Audio AI, generative music, and music technology. He combines deep academic training (PhD in Computer-Based Music Theory and Acoustics from Stanford, plus MS/MA in related fields) with industry R&D experience including internships at Adobe, Smule, and Analog Devices. His work focuses on generative audio and music models, translating signal-processing and music-theory foundations into practical AI systems. Comfortable bridging research and engineering, he brings both electrical engineering rigor and creative music-technology sensibilities to challenging audio problems. A subtle strength is his long habit of shipping research through industrial labs, showing he can navigate both academic rigor and product-focused development.
12 years of coding experience
1 year of employment as a software developer
BS, Electrical Engineering, BS, Electrical Engineering at University of MiamiMA, Music, Science, and Technology, MA, Music, Science, and Technology at Stanford University
Github Skills (42)
webdataset9
resampling9
digital-signal-processing9
audio-device9
system-identification9
data-augmentation9
audio8
mir8
signal-processing8
coremltools7
pytorch7
speech7
machine-learning7
audio-classification7
deep-learning7
Programming languages (3)
Github contributions (5)
mchijmma/DeepAFx
May 2021 - May 2021
ICASSP 2021 Paper Submission: 2096 - website:
Contributions:24 commits, 2 PRs, 22 pushes in 4 days
adobe-research/convmelspec
Nov 2022 - Feb 2023
Convmelspec: Convertible Melspectrograms via 1D Convolutions
Contributions:12 reviews, 4 commits, 3 PRs in 2 months
milon-devicespectrogramsmlonnx
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.