I work on deep generative models for sequences, with a particular focus on speech and audio.My research interest spans a wide range of deep generative models (AR, flow, GAN, diffusion, etc.) applied to sequential data. Specifically, I am working on building multi-modal large language models with a focus on audio. During my Ph.D., I focused on time-domain waveform data (speech and audio) to advance generative modeling for audio. I am also broadly interested in speech and audio applications, including text-to-speech, voice conversion, music generation, neural audio codecs, and audio language models.I received my Ph.D. from the Data Science & AI Lab (DSAIL) at Seoul National University. During my Ph.D., I served as a research intern at NVIDIA. Prior to that, I completed internships at Microsoft Research Asia. I received my B.S. in Electrical and Computer Engineering from Seoul National University.My Google Scholar page is: https://scholar.google.com/citations?user=P93s2UQAAAAJ&hl=enMy personal website is: https://L0SG.github.io