Max G’Sell

This paper improves the portability and fairness of polygenic scores by introducing Joint-Lassosum, which outperforms existing methods in diverse ancestries.

This paper introduces a gene-based testing method that accounts for correlation between nearby genes in GWAS, improving power for detecting weak signals in autism spectrum disorder.

The paper critiques H-MAGMA's statistical foundation, showing many of its findings for psychiatric disorders do not replicate when methodological flaws are addressed.

The paper shows endogenous neural activity modulates neural tuning and perception in a circuit- and stimulus-specific manner using intracranial recordings from epilepsy patients.

The paper applies adaptive p-value thresholding with multi-omics covariates to improve power in GWAS for schizophrenia while controlling FDR.

SCOTS maps brain function from neural time series by integrating spatio-temporal dependence through dimensionality reduction and classification, revealing category-specific neural activation patterns.

The paper identifies a polygenic network governing immune homeostasis using mass-cytometry data from 55 mouse strains, showing 52% of trait genes predict phenotype and revealing multi-cellular regulatory complexity.