Jongyun Jung

Robert N. Butler Columbia Aging Center

722 West 168th Street, Suite 410

New York, NY 10032

I am a Postdoctoral Research Scientist at the Robert N. Butler Columbia Aging Center, Columbia University Mailman School of Public Health, working with Dr. Daniel Belsky. I build AI and statistical methods that turn repeated clinical, genomic, and multi-omic measurements into trajectories of aging, so that we can spot people at rising risk early and measure whether interventions slow biological aging.

Research interests

AI-driven fracture prediction and musculoskeletal aging. Deep sequential models (HyTrax) that combine polygenic risk with serial bone density, grip strength, and lean mass to predict fracture beyond FRAX.
Deep sequence modeling of biological aging. Time-aware transformer architectures (PoA-HyTrax) for irregular clinical visits and non-linear aging trajectories.
Multi-omic data fusion in geroscience. Integrating longitudinal epigenetic and proteomic data with clinical phenotypes into sensitive aging scores.
Biomarker validation. Testing aging measures in randomized trials (CALERIE, FAST Initiative) and large biobanks.
Algorithmic stewardship and health equity. Auditing clinical risk scores and aging AI tools for calibration drift and bias across diverse populations.
NLP for clinical phenotyping. Using large language models to extract frailty, functional status, and cognitive decline from clinical notes.

I received my PhD in Biomedical Science (Biomedical Informatics) from The Ohio State University in 2026, advised by Dr. Qing Wu. Before that I earned an MS in Mathematics and Statistics at Minnesota State University, Mankato, and worked as a data analyst at IMS Health in Seoul.

news

Oct 05, 2026	Presented HyTrax as a dynamic biomarker of aging at the 2026 Biomarkers of Aging Conference, Harvard Medical School.
Aug 20, 2026	Selected for the InnovAGE Fellowship (Cohort 6) at UMass M2D2.
Aug 15, 2026	Awarded an NIA Biomarker Network pilot project ($25,000) as project lead for SS-HyTrax, a self-supervised transformer for biological aging trajectories.
Aug 01, 2026	Completed my PhD at The Ohio State University and joined the Robert N. Butler Columbia Aging Center at Columbia University as a Postdoctoral Research Scientist, working with Dr. Daniel Belsky.
Mar 11, 2026	Late-breaking oral presentation of HyTrax at ICFSR 2026 in Washington, D.C.

selected publications

JBMR

Uncovering Racial and Genetic Disparities in FRAX Performance for Fracture Risk Assessment in Postmenopausal Women

Qing Wu and Jongyun Jung

Journal of Bone and Mineral Research, 2026

DOI Bib HTML

@article{wu2026frax,
  title = {Uncovering Racial and Genetic Disparities in FRAX Performance for Fracture Risk Assessment in Postmenopausal Women},
  author = {Wu, Qing and Jung, Jongyun},
  journal = {Journal of Bone and Mineral Research},
  volume = {41},
  number = {4},
  pages = {424--433},
  year = {2026},
  doi = {10.1093/jbmr/zjaf160},
}

Osteoporos Int

Ensemble-Learning Approach Improves Fracture Prediction Using Genomic and Phenotypic Data

Qing Wu and Jongyun Jung

Osteoporosis International, 2025

DOI Bib HTML

@article{wu2025ensemble,
  title = {Ensemble-Learning Approach Improves Fracture Prediction Using Genomic and Phenotypic Data},
  author = {Wu, Qing and Jung, Jongyun},
  journal = {Osteoporosis International},
  year = {2025},
  doi = {10.1007/s00198-025-07437-w},
}

PLOS One

Identification of bone mineral density associated genes with shared genetic architectures across multiple tissues: Functional insights for EPDR1, PKDCC, and SPTBN1

Jongyun Jung and Qing Wu

PLOS One, 2024

DOI Bib HTML

@article{jung2024sptbn1,
  title = {Identification of bone mineral density associated genes with shared genetic architectures across multiple tissues: Functional insights for {EPDR1}, {PKDCC}, and {SPTBN1}},
  author = {Jung, Jongyun and Wu, Qing},
  journal = {PLOS One},
  year = {2024},
  doi = {10.1371/journal.pone.0300535},
}

PLOS Digit Health

Artificial Intelligence in Fracture Detection with Different Image Modalities and Data Types: A Systematic Review and Meta-Analysis

Jongyun Jung, J. Dai, B. Liu, and 1 more author

PLOS Digital Health, 2024

DOI Bib HTML

@article{jung2024aifracture,
  title = {Artificial Intelligence in Fracture Detection with Different Image Modalities and Data Types: A Systematic Review and Meta-Analysis},
  author = {Jung, Jongyun and Dai, J. and Liu, B. and Wu, Qing},
  journal = {PLOS Digital Health},
  year = {2024},
  doi = {10.1371/journal.pdig.0000438},
}

medRxiv

HyTrax: Deep Sequential Modeling of Serial Musculoskeletal Measurements for Fracture Prediction in the Women’s Health Initiative with External Evaluation in the Framingham Heart Study

Jongyun Jung and Qing Wu

medRxiv, Jul 2026

Under review

DOI Bib HTML

@article{jung2026hytrax,
  title = {{HyTrax}: Deep Sequential Modeling of Serial Musculoskeletal Measurements for Fracture Prediction in the Women's Health Initiative with External Evaluation in the Framingham Heart Study},
  author = {Jung, Jongyun and Wu, Qing},
  journal = {medRxiv},
  year = {2026},
  month = jul,
  doi = {10.64898/2026.06.30.26356875},
  note = {Under review},
}