Experience

Industry

Adobe Research, San Jose
May 2025 – Aug 2025
Research Scientist Intern
Mentored by Branislav “Brano” Kveton, Subhojyoti Mukherjee, Ryan A. Rossi, Anup Rao, Alexa Siu, and Sunav Choudhary.

OSI Lab & OptiML Lab, KAIST
Feb 2023 – Present
PhD Student
Jointly advised by Se-Young Yun (OSI Lab) and Chulhee “Charlie” Yun (OptiML Lab).
OptiML Lab, KAIST
Jun 2022 – Feb 2023
MSc Student
Started being jointly advised by Chulhee “Charlie” Yun.
OSI Lab, KAIST
Sep 2021 – Feb 2023
MSc Student
Advised by Se-Young Yun.

OSI Lab, KAIST
Mar 2020 – Aug 2021
Undergraduate Researcher
Joint PI for theoretical deep learning: (learning) dynamics of DNNs and optimization algorithms, and their practical implications. Advised by Se-Young Yun; joint work with SeongYoon Kim and Namgyu Ho.
AIM Lab, KAIST
Dec 2019 – Aug 2021
Undergraduate Researcher
PI for efficient, fair dimensionality-reduction algorithms. Advised by Chang D. Yoo and Gwangsu Kim; joint work with Matt Olfat.
Biomedical Mathematics Group (BIMAG), IBS/KAIST
Jan 2021 – Aug 2021
Undergraduate Researcher
Joint PI for applying machine learning to infer the underlying dynamical model of plant circadian clocks. Advised by Jae Kyoung Kim; joint work with Seokmin Ha and Dae Wook Kim.
COINSE Lab, KAIST
Jan 2021 – Aug 2021
Undergraduate Researcher
Joint PI for extending SWAY (Chen et al., 2016) to the space of permutations via a novel, theoretically motivated Euclidean embedding. Advised by Shin Yoo.
Department of Mathematical Sciences, KAIST
Jun – Dec 2019
Independent study (informal)
Read J. Matoušek’s Geometric Discrepancy under Andreas Holmsen, with an introduction to extremal graph theory.

PhD in Artificial IntelligenceKAIST · 2023 – Present
MSc in Artificial IntelligenceKAIST · 2021 – 2023
BSc in Mathematical Sciences & Computer ScienceKAIST · 2017 – 2021 · cum laude