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.

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions.
Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions. bioRxiv. 2024 Feb 10.
PMID: 37425935

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits.
Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits. Nat Genet. 2024 Feb; 56(2):336-347.
PMID: 38279041

A pairwise cytokine code explains the organism-wide response to sepsis.
A pairwise cytokine code explains the organism-wide response to sepsis. Nat Immunol. 2024 Feb; 25(2):226-239.
PMID: 38191855

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. Genome Biol. 2023 10 19; 24(1):236.
PMID: 37858253

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. bioRxiv. 2023 Sep 14.
PMID: 36945441

DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION.
DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION. bioRxiv. 2023 Aug 17.
PMID: 37645713

A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes.
A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. PLoS Genet. 2023 07; 19(7):e1010539.
PMID: 37418505

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. bioRxiv. 2023 Jun 29.
PMID: 37425935

The Bayesian lens and Bayesian blinkers.
The Bayesian lens and Bayesian blinkers. Philos Trans A Math Phys Eng Sci. 2023 May 15; 381(2247):20220144.
PMID: 36970830

Organism-Wide Analysis of Sepsis Reveals Mechanisms of Systemic Inflammation.
Organism-Wide Analysis of Sepsis Reveals Mechanisms of Systemic Inflammation. bioRxiv. 2023 Feb 02.
PMID: 36778287

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