Publications

Describing California’s controlled opioid prescription landscape with the CURES Dataset: descriptive statistics and machine-learning explorations.

Jeong, M., Fu, B., Rahman, S., and Sankararaman, S.

preprint, 2025

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Summary-statistics-based unified method for multivariate inference of traits.

Jeong, M. and Sankararaman, S.

preprint, 2025

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Heritability analysis of automatically extracted OCT biomarkers in the UK biobank

Jeong, M., Chiu, A. M., An, U., Avram, O., Zekavat S., and Sankararaman S.

preprint, 2025

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The theoretical limit of local ancestry inference.

Jeong, M., Sankararaman, S., and Wei, A.

preprint, 2024

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Scalable summary statistics-based heritability estimation method with individual genotype level accuracy.

Jeong, M., Pazokitoroudi, A., Liu, Z., and Sankararaman, S.

Genome Research, 2024

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The MOSDEF Survey: Neon as a Probe of ISM Physical Conditions at High Redshift.

Jeong, M., Shapley, A. E., Sanders, …, and Barro, G.

The Astrophysical Journal Letters, 2020

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RAPTOR: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models

An*, U., Jeong*, M., Lee, S. A., Gorla, A., Yang, Y., and Sankararaman, S.

ICML 2025 Spotlight, 2025

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*Equal contribution

Train-free unsupervised volumetric embeddings using image foundation models enable improved predictions and genomic discoveries

An*, U., Jeong*, M., Lee, S. A., Gorla, A., and Sankararaman, S.

RECOMB Genetics, 2025

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*Equal contribution

DK-BEHRT: Teaching Language Models International Classification of Disease (ICD) Codes using Known Disease Descriptions.

An, U., Lee, S. A., Jeong, M., Gorla, A., Chiang, J. N., and Sankararaman, S.

AAAI workshop on AI for Medicine and Healthcare, 2025

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