Carlos Chacón

Senior Scientist at Johannes Kepler University Linz

Vienna, Austria
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Summary

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Senior
🎓
Top School
Carlos Chacón is a Senior Scientist at the Institute of Computational Perception with 11 years of research experience at the intersection of machine listening, expressive music performance, music cognition and machine learning. He holds a Dr. techn. in Computer Science and combines rigorous engineering training (MSc in Electrical and Audio Engineering) with dual bachelor’s degrees in Physics and Piano Performance, enabling rare fluency across signal processing, cognitive models and musical practice. His career blends academic leadership—recently promoted from Assistant Professor at JKU—with international research stints at RITMO and the Austrian Research Institute for AI. Carlos designs ML methods that connect perceptual theory to computational systems, often bringing musician-level insight to technical problems. Based in Vienna, he teaches and collaborates across conservatories and CS departments, making him equally at home with code, data and concert hall realities.
code11 years of coding experience
job12 years of employment as a software developer
bookBachelor's degree, Piano, Bachelor's degree, Piano at Conservatorio Nacional de Música
bookUniversidad Nacional Autónoma de México (UNAM)
bookMaster of Science (M.Sc.), Electrical Engineering and Audio Engineering, Master of Science (M.Sc.), Electrical Engineering and Audio Engineering at Technische Universität Graz
bookDoctor of Engineering Sciences (Dr. techn.), Computer Science, Doctor of Engineering Sciences (Dr. techn.), Computer Science at Johannes Kepler University Linz
languagesSpanish, English, German
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Github Skills (26)

music-generation10
symbolic-music10
lilypond10
music-theory10
notation10
midi10
music-information-retrieval10
music10
music-composition10
musicxml9
music-notation9
python9
theano9
modeling8
mir8

Programming languages (3)

Jupyter NotebookRubyPython

Github contributions (5)

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IMAGINARY/con-espressione

Oct 2018 - Apr 2019

Contributions:34 commits in 6 months
CPJKU/partitura

Jan 2019 - Dec 2022

A python package for handling modern staff notation of music
Contributions:1 release, 129 reviews, 517 commits in 3 years 11 months
pythonmusic-compositionmusic-generationmidimusicxml
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