David B. Dunson

The paper introduces Hubbell regression to estimate biodiversity descriptors and finds actual evapotranspiration is the largest predictor of arthropod diversity, with human activity reducing insect richness in tropical and dry zones.

The paper introduces CORAL, a transfer learning method that improves prediction and inference for rare species using DNA metabarcoding data from Madagascar.

This study investigates how APOE, immune factors, sex, and diet interact to shape brain networks in mouse models of aging, identifying shared vulnerabilities in key circuits.

This paper identifies vulnerable brain networks associated with Alzheimer's disease risk using connectome analysis and composite risk factors, finding age and genotype as significant predictors.

The paper introduces a new metric, absolute winding number, to differentiate spatial navigation strategies in mice with different APOE alleles, revealing genotype and sex differences linked to Alzheimer's disease risk.

The paper introduces an active learning method to infer sparse cortical connectivity from two-photon imaging data, showing it improves inference speed and provides confidence intervals.

The paper shows strong relationships between brain structural connectomes and human traits using advanced processing and dimensionality reduction techniques on large datasets.