Alvaro Lopez, Ph.D, is an music technology researcher and US patent holder inventor, electronic musician, composer and sound designer. His research focuses on artificial intelligence for music analysis, performance and composition. His studies involving procedural music generation in videogames, and real-time parametric scoring have been featured in the 12th ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design (FARM ’24), the 5th North American Conference in Videogame Music, University of Michigan, Music and the Moving Image conference New York University Steinhardt, the Art of Record Production Conference, Berklee College of Music, Boston, and The 2020 Joint Conference on AI Music Creativity at The Royal Institute of Technology (KTH), Stockholm, Sweden. His approach to interactive music generation is published in the journal Sound Effects SoundEffects - An Interdisciplinary Journal of Sound and Sound Experience.

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Alvaro Lopez, Ph.D, is an music technology researcher and US patent holder inventor, electronic musician, composer and sound designer. His research focuses on artificial intelligence for music analysis, performance and composition. His studies involving procedural music generation in videogames, and real-time parametric scoring have been featured in the 12th ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design (FARM ’24), the 5th North American Conference in Videogame Music, University of Michigan, Music and the Moving Image conference New York University Steinhardt, the Art of Record Production Conference, Berklee College of Music, Boston, and The 2020 Joint Conference on AI Music Creativity at The Royal Institute of Technology (KTH), Stockholm, Sweden. His approach to interactive music generation is published in the journal Sound Effects SoundEffects - An Interdisciplinary Journal of Sound and Sound Experience.

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Alvaro Lopez, Ph.D, is an music technology researcher and US patent holder inventor, electronic musician, composer and sound designer. His research focuses on artificial intelligence for music analysis, performance and composition. His studies involving procedural music generation in videogames, and real-time parametric scoring have been featured in the 12th ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design (FARM ’24), the 5th North American Conference in Videogame Music, University of Michigan, Music and the Moving Image conference New York University Steinhardt, the Art of Record Production Conference, Berklee College of Music, Boston, and The 2020 Joint Conference on AI Music Creativity at The Royal Institute of Technology (KTH), Stockholm, Sweden. His approach to interactive music generation is published in the journal Sound Effects SoundEffects - An Interdisciplinary Journal of Sound and Sound Experience.

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Language

English
Fluent
Spanish; Castilian
Fluent

Work Experience

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Education

Bachelor of music at Pontificia Universidad Javeriana
March 30, 2004 - April 8, 2004
Masters of Music Technology at University of Akron
May 5, 2012
PhD in Digital Composition at University of California Riverside
September 15, 2023

Qualifications

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