Junbong Jang

M.S. student at KAIST

I am the first-year master's student in the Computer Vision and Learning Lab at KAIST supervised by Dr. Tae-kyun Kim. Before joining KAIST, I worked as a research assistant for Dr. Kwonmoo Lee at Boston Children's Hospital to develop a deep learning-based segmentation pipeline. At Worcester Polytechnic Institute, I worked on "Bioinformatics Approach to Diagnose Mental Disorders" for my thesis project, supervised by Dr. Dmitry Korkin

My research interests are Computer Vision and Healthcare AI.

Education

  • M.S. in Artificial Intelligence

    Korea Advanced Institute of Science and Technology (KAIST)
    Aug 2021 - Current
  • B.S. in Computer Science

    Worcester Polytechnic Institute (WPI)
    Aug 2016 - Dec 2019

Contact

  • junbongjang@kaist.ac.kr

Projects

project FNA

Screening Adequacy of Unstained Fine Needle Aspiration Samples Using a Deep Learning-based Classifier
Junbong Jang, Young Kim, Brian Westgate, Yang Zong, Caleb Hallinan, Ali Akalin, Kwonmoo Lee
Submitted to iScience, 2021

Paper / Code

marsnet

A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy
Junbong Jang, Chuangqi Wang, Xitong Zhang, Hee June Choi, Xiang Pan, Bolun Lin, Yudong Yu, Carly Whittle, Madison Ryan, Yenyu Chen, Kwonmoo Lee
Cell Reports Methods, 2021

Paper / Code

project MQP

Bioinformatics Approach to Diagnose Mental Disorders
Junbong Jang, Dmitry Korkin
WPI Undergraduate Thesis, 2019

Paper

Talks

Location: Boston Children's Hospital
Project: MARS-Net
Date: Mar 24th, 2021