I train AI large language models for drug discovery and biomedical applications.
Previously, I applied machine learning and deep learning techniques to solve music and audio AI -- problems such as music tagging, source separation, transcription as well as audio understanding and synthesis.
Leading development of large Language Models.
DM-GY 9103/Q Deep Learning for Media
Leading an AI music/audio team covering music source separation, audio generation, and 3D audio.
Large-scale deep learning systems for music and video content creation, social media, and music streaming service. Music research roadmapping for scalable and sustainable growth.
Music content understanding and discovery for 300M+ users of the global leader in music industry
3D audio reproduction systems for immersive acoustic experience
🏆 I received Best Paper Award at ISMIR 2017, the most prestigous music information retrieval research conference.
🎖️ I was also nominated for Best Paper Award at ISMIR 2023.
🖥 I am the creator and maintainer of Kapre, a Python package for Tensorflow (Keras) Audio Preprocessing layers.
⌨️ I am a contributor of librosa, Keras, and torchaudio.
📄 I first-authored 10+ peer-reviewed papers at venues including ISMIR, ICASSP, EUSIPCO, ICML Workshop, etc.
📖 I review papers at NeurIPS, ICML, ICLR, ISMIR, ICASSP, AAAI, etc.
📕 I co-authored a web book about music classification. We used it in our tutorial at ISMIR 2021
🎼 I make music as keunwoo.OOO.