Junbeom Kwon
Ph.D. Student in Psychology
University of Texas at Austin
About
I am a Ph.D. student in Psychology at the University of Texas at Austin, working under the guidance of Prof. Franco Pestilli. My research focuses on applying deep learning and machine learning techniques to neuroimaging data, with particular interests in structural connectivity analysis, fMRI transformer models, and psychiatric disorder diagnosis.
Previously, I completed my Master's degree at Seoul National University, where I developed SwiFT (Swin 4D fMRI Transformer) and worked on various projects involving generative models for neuroimaging and psychiatric disorder diagnosis. My work spans multiple neuroimaging modalities including functional MRI, structural MRI, and diffusion MRI.
Education
Ph.D. in Psychology
University of Texas at Austin
Austin, Texas
Advisor: Prof. Franco Pestilli, PhD
M.A. in Psychology
Seoul National University
Seoul, South Korea
Advisor: Prof. Jiook Cha, PhD
Thesis: Exploring spatiotemporal brain dynamics with fMRI Transformers
B.A. in Psychology
B.S. in Big Data Science
Sogang University
Seoul, South Korea
Research Interests
Deep Learning for Neuroimaging
Developing and applying deep learning models for analyzing various neuroimaging modalities including fMRI, structural MRI, and diffusion MRI.
Structural Connectivity Analysis
Investigating white matter pathways and structural connectivity patterns in the brain, particularly in visual processing regions.
fMRI Transformer Models
Building foundation models for functional MRI data analysis using transformer architectures, enabling end-to-end analysis of brain dynamics.