Justin Kerobo

Justin Adebayo Kerobo is a Nigerian-American saxophonist, music composer, and computer musician from Cincinnati, Ohio. Justin is a graduate of Earlham College with a Bachelor of Arts in Computer Science and Computer Music with an Integrated Pathway in Digital Arts. I also have a Master of Music in Music Composition and Theory at Wayne State University. My primary research interests and studies delve into the deep audio-visual synthesis capabilities of software (Ableton Live, MaxMSP, Pd-L2Ork, etc.), the ever-evolving production of high-quality audio, the exploration of sound through creative and philosophical thought, and the creation of virtual music using electronic and computer music methods.

He is currently pursuing an Interdisciplinary Ph.D. in Human-Centered Design at Virginia Polytechnic Institute and State University. His dissertation is titled “Designing Physiological Connections in Artificial Intelligence: Integration of an AI collaborator into a musical ensemble for group aesthetics and control using biofeedback with affective states,” which is at the intersection of machine learning, music, computer science, industrial systems engineering, and biological psychology.

I was the co-head of the Audio Engineering Society (AES) Chapter at Earlham College and the first student member. I play Baritone Saxophone and use it in a lot of my music. My work mainly involves creating patches and applications in Max, Max for Live, Pd-L2Ork, Pd, and Jitter for musical and scientific interests. Most applications address complex properties of computer music; some primarily support work in Ableton Live, and others are designed for live performance.

All of my MaxMSP, Max for Live, Jitter, and other application work can be found here:

and

All/Any of the work that I do is on my Github: https://github.com/JustinKerobo

All of my music can be found here: https://soundcloud.com/justinkerobo/

My undergraduate thesis project is “Open-Source 3D Audio Sequencer for Sound and Musical Recognition in MaxMSP using HOA Library and Jitter,” more information can be found about that here:

My master’s thesis is “Sounding Africanfuturism: Compositional Influence from Artificial Intelligence and Aesthetic Discernment for Biological Guide to the Stars – Binti,” which documents the implementation of compositional techniques and computer-aided composition.  

With connections to artificial intelligence, Artificial Intelligence Augmentation (AIA) has benefits for musical creativity and computer-aided models in music composition developments in neural networks and deep learning.  Aesthetic grounds in the interdisciplinary study of musical generation with AI take root in science fiction writings as a constant reimagining of how humans can better interface with synthetic systems for use. Synaptic, electric, and frenetic connections consistently inform a traditional humanoid vibrantly interfacing with technological connections on a sensible level and relating to the senses, if not biological. Philosophical inquiries into redefining and retaking the agency of the works made within futurism, specifically, Africanfuturism, breathe life into aesthetic imaginings of musical futurity.

Finally, all of my academic work/papers/essays that pertain to music, computers, and technology can be found here: