Hello! I am a Ph.D. student in EECS at MIT, working with Prof. Paris Smaragdis.
I received my B.S. and M.S. in Electrical and Electronic Engineering from Yonsei University (South Korea) and worked at DSPAI Lab with Prof. Hong-Goo Kang.
My primary research goal is to bridge the gap between classic signal processing and machine learning, with interests spanning audio and speech processing, audio compression, and deep generative models.
My first research experience as an undergraduate at the SRIP Lab involved implementing and analyzing traditional image signal processing algorithms such as denoising, demosaicing, and super-resolution. This interest in combining established algorithms with data-driven approaches has continued throughout my graduate studies.
During my M.S., I focused on neural audio codecs and audio super-resolution. Specifically, I worked on non-blind bandwidth extension using side information for legacy audio codec enhancement, as well as blind audio super-resolution using flow matching, where both approaches are grounded in time-frequency and subband analysis. Currently, my research interests extend to audio tokenization and generative models for audio, with additional experience in multilingual speech processing.