Bob Sturm
Associate Professor
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolBob 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.
11 years of coding experience
6 years of employment as a software developer
Ph. D, Electrical and Computer Engineering, Ph. D, Electrical and Computer Engineering at UC Santa BarbaraUniversité Pierre et Marie Curie (Paris VI)B.A., Physics, B.A., Physics at University of Colorado BoulderMS, Music, Science, Technology, MS, Music, Science, Technology at Stanford University
Github Skills (24)
music-generation10
lstm10
music10
python8
deep-learning8
music-information-retrieval8
machine-learning8
jekyll7
audio7
lists6
keras5
audio-processing5
unicorns5
magenta4
deep-neural-networks3
Programming languages (3)
Github contributions (5)
boblsturm/aimusicgenerationchallenge2022
Jan 2022 - Sep 2022
Contributions:12 commits, 22 pushes, 1 branch in 7 months
boblsturm/aimusicgenerationchallenge2023
Jan 2023 - Mar 2023
Contributions:10 commits, 38 pushes, 1 branch in 2 months
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