Interactive Audio Lab
Machine Learning Engineer at Northwestern University
Evanston, Illinois, United States
Summary
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SeniorBryan Pardo is a professor and director of the Interactive Audio Lab at Northwestern University, where for over a decade he has developed machine learning, signal processing, and HCI methods to build tools that let machines hear and people manipulate sound. He holds a PhD in Computer Science from the University of Michigan and a master's in Music, blending rigorous technical research with musical practice. His work spans foundational research, teaching courses like Deep Learning and Digital Luthier, and real-world creativity—he actively performs with groups such as Son Monarcas and The East Loop. Known for translating auditory science into usable systems, he combines scholarly publications with hands-on tool-building that benefits researchers, artists, and educators.
11 years of coding experience
Github Skills (25)
nmf10
source-separation9
transform9
audio8
midi7
music6
python6
linear-regression5
toolbox5
asynchronous5
mir4
machine-learning4
librosa4
juce3
deep-learning3
Programming languages (5)
Github contributions (5)
qiannathancao/Machine_Learning_Models
Mar 2019 - Apr 2019
Contributions:31 commits in 26 days
interactiveaudiolab/interactiveaudiolab.github.io
Apr 2017 - Aug 2022
Contributions:79 pushes, 1 branch, 2 comments in 5 years 4 months
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