My lab works on a wide variety of problems at the interface of Statistics and Genetics. We often tackle problems where novel statistical methods are required, or can learn something new compared with existing approaches. Thus, much of our research involves developing new statistical methodology, many of which have a non-trivial computational component. People in my lab tend to come from a quantitative background (e.g., Statistics, Computer Science), with varying levels of formal or informal Biology training.
Disease-associated loci share properties with response eQTLs under common environmental exposures.
Disease-associated loci share properties with response eQTLs under common environmental exposures. Cell Genom. 2026 Sep 29; 101383.
PMID: 42810334
Genetic factor analysis for characterizing phenome-wide patterns of genetic pleiotropy.
Genetic factor analysis for characterizing phenome-wide patterns of genetic pleiotropy. Nat Genet. 2026 Oct; 58(10):2494-2501.
PMID: 42778724
A Gene-Program Architecture of Mouse T cells.
A Gene-Program Architecture of Mouse T cells. bioRxiv. 2026 Sep 17.
PMID: 42779700
Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA.
Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA. J Comput Graph Stat. 2026 May 29.
PMID: 42272641
Non-negative matrix factorization algorithms generally improve topic model fits.
Non-negative matrix factorization algorithms generally improve topic model fits. Stat Comput. 2026; 36(3):131.
PMID: 42100650
Differential disease tolerance mediates sex-biased illness severity in sepsis.
Differential disease tolerance mediates sex-biased illness severity in sepsis. Proc Natl Acad Sci U S A. 2026 Mar 03; 123(9):e2522764123.
PMID: 41734079
Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model.
Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model. Nat Genet. 2026 Feb; 58(2):454-462.
PMID: 41634413
Integrating multi-omics and multi-context QTL data with GWAS reveals the genetic architecture of complex traits and improves the discovery of risk genes.
Integrating multi-omics and multi-context QTL data with GWAS reveals the genetic architecture of complex traits and improves the discovery of risk genes. medRxiv. 2026 Jan 30.
PMID: 41646667
Improving estimation efficiencies for family-based GWAS by integrating large external data.
Improving estimation efficiencies for family-based GWAS by integrating large external data. medRxiv. 2025 Dec 29.
PMID: 41503481
SuSiE 2.0: improved methods and implementations for genetic fine-mapping and phenotype prediction.
SuSiE 2.0: improved methods and implementations for genetic fine-mapping and phenotype prediction. bioRxiv. 2025 Dec 25.
PMID: 41394690