Summary
Yonghyun Kim is an AI and music-focused researcher and doctoral student in Music Technology at Georgia Tech with eight years of experience bridging machine learning, HCI, and music informatics. He builds smart learning assistants and generative “rational” AI artists, collaborating with labs at Yamaha, CMU, KAIST, and Sony to push creative AI in composition, singing, and performance. His work spans urban audio sensing, audio-visual piano transcription, and emotion modeling in music, reflecting both technical depth and musical sensitivity. An active contributor to the research community, he serves on program committees and peer reviews top conferences (ACM ICMR, CHI, ICMC, NIME) while organizing the AI Song Contest. Past roles from military IT specialist to startup CEO and lecturer reveal a practical, interdisciplinary problem-solver who pairs engineering rigor with real-world deployment experience. He often combines academic collaborations across continents, signaling an ability to translate cutting-edge research into applied musical technologies.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science & Electrical Engineering (Double Major), Bachelor of Science - BS Computer Science & Electrical Engineering (Double Major) at Ulsan National Institute of Science and Technology
High School Diploma High School/Secondary Diplomas and Certificates, High School Diploma High School/Secondary Diplomas and Certificates at Gimcheon High School
Technical University of Denmark
Doctor of Philosophy Music Technology, Doctor of Philosophy Music Technology at Georgia Institute of Technology
Master of Science - MS Culture Technology (Music Information Retrieval), Master of Science - MS Culture Technology (Music Information Retrieval) at Korea Advanced Institute of Science and Technology
English, Korean, Chinese, French