Experience

VUNO Inc.

• South Korea
• Medical Device
• 1 - 100 Employee

• AI Research Scientist, Tech Lead

  • May 2023 - Present

• AI Research Scientist

  • Sep 2021 - May 2023



Seoul National University Hospital

• South Korea
• Hospitals and Health Care
• 300 - 400 Employee

• AI Research Intern

  • Jul 2021 - Aug 2021



Korea Advanced Institute of Science and Technology

• Higher Education
• 1 - 100 Employee

• Machine Learning Research Intern

  • Jul 2020 - Sep 2020

  - Implemented a theoretical framework to evaluate performance how much a reinforcement model imitates human behaviour. - Developed an algorithm to categorize reinforcement learning models with respect to Jensen-Shannon Divergence of their policy distributions. - Implemented a theoretical framework to evaluate performance how much a reinforcement model imitates human behaviour. - Developed an algorithm to categorize reinforcement learning models with respect to Jensen-Shannon Divergence of their policy distributions.



Ludwig-Maximilians-Universität München

• Germany
• Higher Education
• 700 & Above Employee

• Research Intern

  • Jul 2019 - Aug 2019

  - Conducted in silico experiments to determine the difference in dynamics of various neuronal models. - Proved the Depolarizing After Potential (DAP) model exhibits shorter opening in potassium channel than the original Hodgkin-Huxley model. - Conducted in silico experiments to determine the difference in dynamics of various neuronal models. - Proved the Depolarizing After Potential (DAP) model exhibits shorter opening in potassium channel than the original Hodgkin-Huxley model.



Korea University

• South Korea
• Higher Education
• 700 & Above Employee

• Research Intern

  • Aug 2018 - Sep 2018

  - Studied feature extraction methods for classification of motor-imagery brain-computer interface EEG signals. - Proposed a theory for more efficient signal processing by defining algebraic structures of brain regions. - Studied feature extraction methods for classification of motor-imagery brain-computer interface EEG signals. - Proposed a theory for more efficient signal processing by defining algebraic structures of brain regions.