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Hi, I’m Jaesung Yoo. I am currently a visiting research assistant at Metaconscious Lab, MIT. I previously worked at Biomedical Informatics Lab, Seoul National University Hospital, working on continual learning, AI in medical neuroscience, and privacy-preserving deep learning.

Research Interests

  • Developing neural network models for biomedicine
  • Explainable deep neural networks & Neural networks as computational neuroscience model
  • Synaptic plasticity and learning algorithms for deep neural networks


(*equal contributions)

Jaesung Yoo*, Ilhan Yoo*, Ina Youn, Sung-Min Kim, Ri Yu, Kwangsoo Kim, Keewon Kim, Seung-Bo Lee. Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability. Computer Methods and Programs in Biomedicine (2022).

(Under review)

Jaesung Yoo, Sunghyouk Choi, Ye Seul Yang, Suhyeon Kim, Jieun Choi, Dongkyeong Lim, Yaeji Lim, Hyung Joon Joo, Dae Jung Kim, Rae Woong Park, Hyeong-Jin Yoon, Kwangsoo Kim. Review learning: Alleviating catastrophic forgetting with generative replay without a generator.

Ilhan Yoo*, Jaesung Yoo*, Dongmin Kim, Ina Youn, Hyodong Kim, Michelle Youn, Jun Hee Won, Woosup Cho, Youho Myong, Sehoon Kim, Ri Yu, Sung-Min Kim, Kwangsoo Kim, Seung-Bo Lee, Keewon Kim. Deep learning model for needle electromyography electrodiagnosis in comparison with physician assessment: A retrospective study.

Jaesung Yoo*, Sunghyouk Choi*, Suhwan Kim, Joongheon Kim, Kwangsoo Kim, Hyung-Jin Yoon. Transfer iterative learning in privacy preserving deep learning: a common data model study


Enjoy teaching & tutoring. Give easy explanations.
I code succinctly and intuitively.
Personal syntax tools, Personal deep learning toolkit for python available in PyPI.

Native in Korean, English and Python.
Learning Chinese, Japanese, and Spanish.
Warm hearted, Optimistic.