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Hello 👋, I'm Yeojin Kim

I'm a Ph.D. student in Bioinformatics at Georgia Tech, specializing in spatial transcriptomics, interpretable deep learning, and computational biology.

My research focuses on building AI-driven tools and statistical modeling to analyze high-dimensional biological data. I'm passionate about connecting computational methods with real biological insight to push forward disease research and biomarker discovery, aiming for patient-centered impact on treatment and diagnosis.

You can check out my [CV] to learn more about my work and publications.

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Yeojin Kim

Education

Ph.D. in Bioinformatics

September 2023 · Present

Georgia Institute of Technology

Ph.D. in Bioinformatics

Advisor: Prof. Sinha, Saurabh
M.S. in Artificial Intelligence

March 2021 · Feb 2023

Gwangju Institute of Science and Technology (GIST)

M.S. in Artificial Intelligence

Advisor: Prof. Lee, Hyunju
B.S. in Life Science

March 2016 · Feb 2021

Gwangju Institute of Science and Technology (GIST)

B.S. in Life Science

Advisor: Prof. Lee, Hyunju, Prof. Yoo, Yung Joon
Summer Session

July 2017

University of Copenhagen

Summer Session

Publications

All projects »
SpaceExpress
⭐️ Paper Under Review

SpaceExpress

A tool for comparative spatial transcriptomics analysis

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PINNet
⭐️ Paper Published

PINNet

Deep neural network with pathway prior knowledge

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Recent Posts

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BioFinderLM: AI Literature Search Engine for Biological Research

SYNC: A Spatial Transcriptomics Visualization Tool

SpaceExpress: A Statistical Framework for Comparative Spatial Transcriptomics

Protein-Ligand Affinity Prediction

PINNet: A deep neural network with pathway prior knowledge for Alzheimer’s disease