Publications

REGENA: Disentangling phenotype scale, amplification, and effect heterogeneity underlying polygenic GxE architecture of complex traits

Liu, Z., Anand, A., Qie, X., Costantino, M., Jeong, M., Gorla, A., Zaitlen, N., Dahl, A., and Sankararaman, S.

Manuscript in preparation, 2026

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Gaussian process-based neural topic model for series-specific topic dynamics in time series datasets.

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

Manuscript in preparation, 2026

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Comprehensive gene heritability estimation reveals the genetic architecture of rare coding variants underlying complex traits

Liu, Z., Fu, B., Jeong, M., Anand, P., Anand, A., Jang, S.-K., Gorla, A., Zhu, J., Pajukanta, P., Palamara, P. F., Zaitlen, N., Border, R., and Sankararaman, S.

bioRxiv preprint, 2025

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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.

Manuscript in preparation, 2025

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

Jeong, M. and Sankararaman, S.

Manuscript in preparation, 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.

Manuscript in preparation, 2025

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The theoretical limit of local ancestry inference.

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

Manuscript in preparation, 2024

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A biobank-scale method for learning modulators of gene-environment interaction underlying human complex traits from multiple environmental exposures

Liu, Z., Ramteke, A., Anand, A., Gorla, A., Jeong, M., and Sankararaman, S.

Genome Research (online ahead of print), 2026

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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; Spotlight (top 2.6% of submissions)

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.

Proceedings of the First AAAI Bridge Program on AI for Medicine and Healthcare, 2025

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