Kai-Luen Liang
Educator, Artist, Creative Technologist
Contact
Email: kailuensound@gmail.com
Website: www.kailuenliang.com
Location: Los Angeles, CA USA
Education
MFA in Music Technology: Interaction, Intelligence, and Design
BA in Asian American Studies
Teaching and Advising
Lecturer/Special Faculty – Art & Technology / Music Technology
Teaching in both the Music school and Art school graduate-level courses on AI/ machine learning, creative coding, AV installation, sound design, integrated electronics, and Human Computer Interaction for new musical interfaces, and interactive media design.
Advised over 30 graduate students; serve on admissions committee for both Art and Technology and Music Technology MFA applications.
Managed Integrated Media Lab and contributed to curriculum development and admissions for incoming Art and Technology MFA and Music Technology students.
Visiting Lecturer – Music and Artificial Intelligence
Designed and taught course on machine learning, generative AI, and music. Lead discussions on contemporary topics related to AI and cultural production, labor, music industry, ethics, copyright, and socio-political issues.
Taught technical workshops about fine-tuning recurrent neural networks with custom datasets, MIDI generation, computer vision, text to audio for sound fx, neural synthesis using Python.
Courses Taught
Occidental College
- Music and Artificial Intelligence (Fall 2024) - Computer Science/ Music
California Institute of the Arts: Herb Alpert School of Music
- Computer Vision F2025 - Workshop Series for Creative Computing
- Creative AI F2025 - Workshop Series for Creative Computing
- Creative Coding for AI Art (F2021, 2022, 2023, 2024)
- AI Sonic Explorations (S2022, S2023, S2024)
- Intro to Sound Production (F2021)
- Graduate Music Tutorials- Music Technology (Fall and Spring 2021-2025)
California Institute of the Arts, School of Art: Integrated Media
- Sonic Vectors (S2025)
- The Implicit Body (F2024)
- Data Tied and Tangled (F2022)
- Computation Reconsidered (F2021, F2022, F2023)
- Algorithmic Practices (S2022, S2023)
- Machine Deep Dreaming (S2022, S2023, S2024)
- Code As Object (F2021)
- Graduate Independent Studies: (Fall and Spring 2021-2025)
Technical Skills
Programming
Python, P5.js, OpenFrameworks, Processing
Machine Learning
MediaPipe, OpenCV, Pytorch, FluComa, ML.js
Audio/Visual
TouchDesigner, Ableton Live, Max/MSP
Hardware
Arduino, Raspberry Pi, Sensor Integration
Languages
English, Mandarin Chinese