Yun Wang, Ph.D.

Tenure-track Assistant Professor of Biomedical Informatics

Secondary appointments in Gynecology & Obstetrics and Radiology & Imaging Sciences · Emory University School of Medicine

Email Emory ORCID GitHub LinkedIn

Biography

Measuring development as one connected system.

Yun Wang is a biomedical informatics and imaging scientist who directs the Nurture Map Lab at Emory University School of Medicine. Her independently funded research program develops AI and quantitative MRI methods to measure connected pathways from maternal health through placental function and fetal physiology to infant brain development and early neurobehavior.

Her research frames early development as a connected maternal–placenta–fetal-circulation–brain–neurobehavior system. The long-term goal is to identify when and how developmental risk emerges, create quantitative tools for earlier monitoring, and reveal potentially modifiable pathways for prevention. Her work spans medical imaging, biomedical informatics, obstetrics, radiology, developmental neuroscience, and mental health.

Research interests

Perinatal imaging AI: Interpretable, developmentally aware methods for fetal, placental, newborn, and infant MRI across motion, changing anatomy, heterogeneous scanners, and limited labels.
Placental and fetal pathways: Multimodal phenotyping of placental physiology, fetal circulation, oxygen delivery, and their links to early brain development.
Early neurobehavior: Longitudinal models connecting perinatal phenotypes with regulation, attention, social communication, and early psychopathology risk.

Funding & service

NIH K99/R00 Pathway to Independence awardee
Standing member, NIH NICHD study section
Contact PI, NICHD R01HD121683 (multiple PI); multiple PI, NIMH R01MH133313

Selected publications

2026
NeuroLangSeg: Language-Guided Subcortical Segmentation with Pseudo-Supervision and Anatomical–Linguistic Validation
Liu, R., Liu, J., Zhang, X., Huang, C., & Wang, Y. · Medical Imaging with Deep Learning
2026
Orientation-Aware Diffusion Super-Resolution for 3T-Like Fetal MRI from Routine 1.5T Scans
Zhong, X., Liu, R., Lin, G., Huang, C., Goldman-Yassen, A., Mehollin-Ray, A., & Wang, Y. · Medical Imaging with Deep Learning
2025
Prediction of Mental Health Risk in Adolescents
Hill, E. D., Kashyap, P., Raffanello, E., Wang, Y., Moffitt, T. E., Caspi, A., Engelhard, M., & Posner, J. · Nature Medicine
2024
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
Zhang, X., Wu, Y., Angelini, E., Li, A., Guo, J., Rasmussen, J. M., O’Connor, T. G., Wadhwa, P. D., Jackowski, A. P., Li, H., Posner, J., Laine, A. F., & Wang, Y. · CVPR
2024
Segmenting Hypothalamic Subunits in Human Newborn Magnetic Resonance Imaging Data
Rasmussen, J. M., Wang, Y., Graham, A. M., Fair, D. A., Posner, J., O’Connor, T. G., et al. · Human Brain Mapping
2019
The Association Between Antidepressant Treatment and Brain Connectivity in Two Double-Blind, Placebo-Controlled Clinical Trials: A Treatment Mechanism Study
Wang, Y., Bernanke, J., Peterson, B. S., McGrath, P., Stewart, J., Chen, Y., et al. · The Lancet Psychiatry

Full list on ORCID →

Appointments & training

Emory University School of Medicine2024–present

Tenure-track Assistant Professor of Biomedical Informatics, with secondary appointments in Gynecology & Obstetrics and Radiology & Imaging Sciences.

Duke University2021–2023

Assistant Professor of Psychiatry & Behavioral Sciences, with a secondary appointment in Electrical & Computer Engineering.

Columbia University2017–2021

Postdoctoral Research Scientist.

Auburn University2012–2016

Ph.D. in Electrical & Computer Engineering.

Purdue University2010–2011

M.S. in Electrical & Computer Engineering.

Contact

For research, collaboration, and training inquiries, email yun.wang2@emory.edu. The profiles linked above distinguish this record from other researchers named Yun Wang.