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.
Undergraduate Researcher
AIM Lab, KAIST
PI for efficient, fair dimensionality-reduction algorithms. Advised by Chang Dong Yoo and Gwangsu Kim; joint work with Matt Olfat.
Undergraduate Researcher
Biomedical Mathematics Group (BIMAG), IBS/KAIST
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.
Undergraduate Researcher
COINSE Lab, KAIST
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.