We develop quantitative and computational methods and tools to sift through the vast amounts of genomic and other high dimensional data with the goal of making discoveries that can be translated to improve human health.
University of Chicago
Chicago
PhD - Statistics
2005
scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework.
scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework. Cell Genom. 2025 May 14; 5(5):100875.
PMID: 40373737
Meet the author: Hae Kyung Im.
Meet the author: Hae Kyung Im. Cell Genom. 2025 May 14; 5(5):100880.
PMID: 40373740
Transcriptomic Profiling of Long COVID in Interstitial Lung Disease Patients Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation.
Transcriptomic Profiling of Long COVID in Interstitial Lung Disease Patients Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation. Am J Respir Cell Mol Biol. 2025 Apr 30.
PMID: 40305670
RatXcan: A framework for cross-species integration of genome-wide association and gene expression data.
RatXcan: A framework for cross-species integration of genome-wide association and gene expression data. PLoS Genet. 2025 Mar; 21(3):e1011583.
PMID: 40163524
The Farm Animal Genotype-Tissue Expression (FarmGTEx) Project.
The Farm Animal Genotype-Tissue Expression (FarmGTEx) Project. Nat Genet. 2025 Apr; 57(4):786-796.
PMID: 40097783
BrainXcan identifies brain features associated with behavioral and psychiatric traits using large-scale genetic and imaging data.
BrainXcan identifies brain features associated with behavioral and psychiatric traits using large-scale genetic and imaging data. Dev Cogn Neurosci. 2025 Jun; 73:101542.
PMID: 40101670
scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study framework.
scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study framework. bioRxiv. 2025 Mar 04.
PMID: 39605417
Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits.
Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits. Genome Biol. 2025 Feb 03; 26(1):19.
PMID: 39901160
Pervasive polygenicity of complex traits inflates false positive rates in transcriptome-wide association studies.
Pervasive polygenicity of complex traits inflates false positive rates in transcriptome-wide association studies. bioRxiv. 2024 Nov 15.
PMID: 37904952
scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study framework.
scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study framework. bioRxiv. 2024 Nov 14.
PMID: 39605417