Ernest K. Ryu

Ph.D. Students

Jisun Park (2020.06–)
TaeHo Yoon (2020.06–)
Sehyun Kwon (2020.08–)
Jongmin Lee (2020.10–)
Jaewook Suh (2020.11–)
Joo Young Choi (2021.03–)
Donghwan Rho (2022.01–)
Uijeong Jang (2022.09–)
Kibeom Myoung (2023.01–)
Jaesung Park (2023.06–)

M.S. Students

Hyunsik Chae (2023.05–)

Undergraduate Mentees

Gyumin Roh (2021–)

Alumni

Jaeyeon Kim (Undergraduate intern, 2022–2024, SNU Math → Harvard CS)
Jinhee Paeng (Undergraduate intern, 2022–2024, SNU Math → Stanford CME)
Soheun Yi (Undergraduate intern, 2022, SNU Math → CMU Stats)
Shuvomoy Das Gupta (MIT ORC) (Summer Intern. 2021 → Columbia IEOR Postdoc → Rice CMOR Assistant Professor)
Chanwoo Park (Undergraduate intern, 2020–2021, SNU Stats → MIT EECS)
Shuyao Li (Undergraduate intern at UCLA, 2019, HKU → Wisconsin-Madison)
Xinmeng Huang (Undergraduate intern at UCLA, 2019, USTC → UPenn)
Xumei Xi (Undergraduate intern at UCLA, 2018, USTC → Cornell)

For Prospective Students

Graduate students

Students interested in applying are encouraged to contact me to discuss the application process. Applicants should satisfy at least one of the following requirements:

A+ from Mathematical and Numerical Optimization or a commensurate mastery of the course material through studying my book.
A+ from Mathematical Foundations of Deep Neural Networks or a commensurate background in deep learning.

Undergraduate interns

I am generally unable to advise undergraduate interns. However, I will make an exception if a students achieves a 1st place performance in my optimization or deep learning course.