Junseok Lee homepage

About me

I’m a ph.D student in Industrial & System Engineering at KAIST, where I am fortunate to be advised by Prof. Chanyoung Park in Data Science & Artificial Intelligence (DSAIL) lab.

My research interests lie in realm of applied machine learning, particularly in harnessing the relationships between data by leveraging the power of Graph Neural Networks (GNNs). Currently, my primary focus involves the application of maching learning to the filed of Bioinformatics, with a specific emphasis on aiding the analysis on Single-cell RNA sequencing data

  • Graph Neural Networks
  • Self-Supervised Learning
  • Federated Learning
  • Bioinformatics

News

I started as a visiting Ph.D student at University of Texas Health Science Center at Houston (UTHealth), USA.
[April 2024] A paper “A paper got accepted at Briefings in Bioinformatics.
[July 2023] A paper “Single-cell RNA-seq data imputation using Feature Propagation” received the Best Paper Award at ICML 2023 Workshop on Computational Biology.
[June 2023] Two papers got accepted at ICML 2023 Workshop on Computational Biology.
[May 2023] A paper got accepted at Bioinformatics.
Read more