Sang-gil Lee

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I am a research scientist at NVIDIA. I work on deep generative models for sequences, with a particular focus on speech and audio.

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, under the advisement of Wei Ping and Boris Ginsburg. Prior to that, I completed internships at Microsoft Research Asia, where I was advised by Xu Tan, Tao Qin (speech), and Bin Shao (bioinformatics). I received my B.S. in Electrical and Computer Engineering from Seoul National University.



News


Research

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.

Representative papers are highlighted.



Experience
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Research Scientist @ NVIDIA
Jan 2024 - Current
In the Applied Deep Learning Research team, I am working on building multi-modal large language models with a focus on audio.
Sep 2021 - Jan 2022
As a research intern, I worked on improving neural vocoders for high quality speech and audio synthesis, advised by Wei Ping and Boris Ginsburg.
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Senior Research Engineer @ Qualcomm AI Research
Feb 2023 - Jan 2024

I developed a framework for Text-to-Speech (TTS) research and development, optimized for deployment on edge devices.
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Research Intern @ Microsoft Research Asia
Dec 2020 - May 2021
I worked on diffusion-based generative models for speech synthesis, advised by Xu Tan, Chang Liu, Qi Meng, and Tao Qin.
Dec 2018 - Feb 2019
I worked on the Antigen Map Project, where I applied sequence models to predict antigens from genetic sequences, advised by Bin Shao.
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Research Intern @ Kakao Corporation
Jul 2019 - Sep 2019

I worked on improving speech synthesis and voice conversion models, advised by Jaehyeon Kim and Jaekyong Bae.


Education
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Ph.D. in Seoul National University
Electrical and Computer Engineering
Sep 2016 - Feb 2023
Dissertation: Deep Generative Model for Waveform Synthesis
Integrated M.S./Ph.D. Program.   Advisor: Sungroh Yoon.

Dual B.S. in Seoul National University
Electrical and Computer Engineering / Applied Biology and Chemistry
Mar 2010 - Aug 2016
Cum Laude


Projects

During my time at DSAIL, I collaborated with Seoul National University Hospital on a computer-aided diagnosis project for liver cancer. The project yielded a high-performance medical object detection model to help reduce human errors from radiologists for the early detection of liver disease.



Invited Talks, Honors, and Awards
Personal
Image I am a PC hardware enthusiast, always eager to learn about computers in my free time.

As a hobbyist DJ, I enjoy house music. My mixes on YouTube

Last update: Jan 2026. Template borrowed from here.