Jung‑Hoon Kim, PhD, is a research faculty member (assistant professor of radiology and pediatrics, tenure track) at the Developing Brain Institute (DBI) at Children’s National Hospital, which he joined in March 2021. His work bridges biomedical signal processing, neuroimaging and machine learning to advance understanding of the perinatal brain, with a primary focus on characterizing fetal–neonatal brain networks. Trained at Purdue University (PhD, Biomedical Engineering), he developed an unsupervised deep generative model that learns brain representations in young adults and is now adapting and extending these methods to fetal and neonatal populations. He has pioneered multimodal EEG–fMRI source imaging, devised methods to estimate interregional directional connectivity from intracranial EEG, and developed deep generative models for fMRI. At DBI, he leads a program to empirically measure infant skull conductivity and build individualized, anatomically accurate head models to enable safe, effective and personalized tDCS dosing in infants. He is a multi‑principal investigator on an NIMH R21 (2025–2027), Machine Learning Core Investigator for the Raynor Cerebellum Project (2025–2030) and a recent NICHD T32 trainee (2023–2025).
