Johanna Devaney
Associate Professor
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJohanna Devaney is an interdisciplinary associate professor who blends music theory, machine learning, signal processing, and cognitive psychology to study musical perception and performance. With 14 years of academic experience and funded research from the NSF and NEH, she directs data-driven music research and teaches music technology and data visualization at Brooklyn College and The Graduate Center, CUNY. She edits the Journal of New Music Research and co-founded Vocal Clarity, translating scholarly insights into commercial audio technology. Her background spans postdoctoral work at UC Berkeley to consulting for audio companies, reflecting a rare combination of rigorous empirical scholarship and practical product experience. An unexpected throughline in her career is sustained engagement with both humanities funding and cutting-edge computational methods, enabling projects that are musically informed and technically innovative.
14 years of coding experience
18 years of employment as a software developer
Diploma, Computer Programming, Diploma, Computer Programming at Seneca PolytechnicMPhil, Music Theory, MPhil, Music Theory at Columbia UniversityMA, Music Composition, MA, Music Composition at York UniversityPhD, Music Technology, PhD, Music Technology at McGill University
French
Github Skills (11)
xml9
encoding8
notation8
music7
python6
music-notation6
data-analysis5
data-science5
musicxml5
speech-recognition1
speech1
Programming languages (3)
Github contributions (5)
jcdevaney/TAVERN
Jul 2015 - Apr 2022
Contributions:11 commits, 10 pushes, 1 branch in 6 years 10 months
jcdevaney/data71200sp20
Jan 2020 - Jun 2021
DATA 71200 Advanced Data Analysis Methods
Contributions:21 commits, 19 pushes, 1 branch in 1 year 4 months
data-analysispythonanalysisdata-science
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