Bob Sturm

Associate Professor

Stockholm, Sweden
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Summary

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Senior
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Top School
Bob Sturm is an Associate Professor of Computer Science at KTH in Stockholm with 11 years of academic experience focused on signal processing and sparse approximation for audio and music. He combines a strong engineering pedigree—PhD and MS training from UC Santa Barbara and Stanford—with a track record of teaching and research roles across Europe and the US, including positions at Queen Mary and Aalborg. His work sits at the intersection of music, acoustics and machine learning, turning theoretical sparse models into practical audio analysis tools. Bob’s background in both physics and media technology gives him a rare cross-disciplinary perspective that informs novel approaches to audio signal interpretation and synthesis.
code11 years of coding experience
job6 years of employment as a software developer
bookPh. D, Electrical and Computer Engineering, Ph. D, Electrical and Computer Engineering at UC Santa Barbara
bookUniversité Pierre et Marie Curie (Paris VI)
bookB.A., Physics, B.A., Physics at University of Colorado Boulder
bookMS, Music, Science, Technology, MS, Music, Science, Technology at Stanford University
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Github Skills (26)

lstm10
music-generation9
music-information-retrieval8
jekyll8
audio7
music7
ai6
audio-processing6
data-dump5
machine-learning5
mir4
unicorns4
neural-network4
deep-learning4
deep-neural-networks3

Programming languages (3)

TeXHTMLPython

Github contributions (5)

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Contributions:10 commits, 38 pushes, 1 branch in 2 months
boblsturm/aimusic2020

May 2020 - Feb 2021

Contributions:344 pushes, 1 branch in 8 months
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