Publications
PREPRINTS & IN PREPARATION
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
Summary-statistics-based unified method for multivariate inference of traits.
Jeong, M. and Sankararaman, S.
preprint, 2025
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
The theoretical limit of local ancestry inference.
Jeong, M., Sankararaman, S., and Wei, A.
preprint, 2024
PEER-REVIEWED JOURNAL PAPERS
Scalable summary statistics-based heritability estimation method with individual genotype level accuracy.
Jeong, M., Pazokitoroudi, A., Liu, Z., and Sankararaman, S.
Genome Research, 2024
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
PEER-REVIEWED CONFERENCE PAPERS
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
*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
*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