Minji Kang

Hi, I'm Minji!

I am a fifth-year Ph.D. student in Computer Science at Stanford University advised by Aaron Newman. My research focuses on decoding molecular biology data to discover the biological mechanisms underlying stem cells and to identify immature cell populations in cancer. Currently, I am developing machine learning models for inferring cell development potential from single-cell RNA-sequencing data. I am grateful to be supported by the Bio-X Stanford Interdisciplinary Graduate Fellowship and Korea Foundation for Advanced Studies (KFAS).

Before Stanford, I received B.S. in Computer Science and Engineering from Seoul National University advised by Jihong Kim and Sun Kim.

Outside of research, I love listening to music, playing the piano, taking photos, and drinking tea.

CV

We are thrilled to announce that CytoTRACE 2 is out on bioRxiv! CytoTRACE 2 is an interpretable deep learning model to predict absolute developmental potential using single-cell expression data. It not only uncovers the gene programs underlying developmental potential, but also enhances the understanding of cell plasticity in cancer. If you are interested in, please check out our preprint and code!

Mapping single-cell developmental potential in health and disease with interpretable deep learning
Minji Kang*, Jose Juan Almagro Armenteros*, Gunsagar S. Gulati*, Rachel Gleyzer, Susanna Avagyan, Erin L. Brown, Wubing Zhang, Abul Usmani, Noah Earland, Zhenqin Wu, James Zou, Ryan C. Fields, David Y. Chen, Aadel A. Chaudhuri, Aaron M. Newman.
bioRxiv, 2024
*: equal contribution

Publications

*: equal contribution

High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE
Milad R. Vahid*, Erin L. Brown*, Chloé B. Steen*, Wubing Zhang, Hyun Soo Jeon, Minji Kang, Andrew J. Gentles, Aaron M. Newman.
Nature Biotechnology, 2023

Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space
Taeheon Lee, Sangseon Lee, Minji Kang, Sun Kim.
Scientific Reports, 2021

Learning Cell-Type-Specific Gene Regulation Mechanism by Multi-Attention Based Deep Learning Model with Regulatory Latent Space
Minji Kang*, Sangseon Lee*, Dohoon Lee, Sun Kim.
Frontiers in Genetics, 2020

A CNN-Based Encrypted Data Detection Technique for Ransomware Defense
Minji Kang, Jonghoon Won, Jisung Park, Jihong Kim.
KIISE Transactions on Computing Practices, 2019
Invited Paper

RansomBlocker: a Low-Overhead Ransomware-Proof SSD
Jisung Park, Youngdon Jung, Jonghoon Won, Minji Kang, Sungjin Lee, Jihong Kim.
In Proc. of the 56th Design Automation Conference (DAC), 2019

File-Fragment Type Identification using Selected N-grams by Apriori Algorithm
Jonghoon Won*, Minji Kang*, Jisung Park, Jihong Kim.
In Proc. of the 2018 Korea Software Congress, 2018

Contact

minji.kang [at] stanford [dot] edu

Newman Lab
G3101, Lorry I. Lokey Stem Cell Research Building
265 Campus Drive, Palo Alto, 94305