Amy Willis

Professor Amy D Willis and her research group, the Statistical Diversity Lab, develop methods and software for the analysis of ecological data obtained from high throughput sequencing, with a particular emphasis on microbiome data.

The more recent work of the group focuses on modeling relative abundance, diversity, and compositional batch effects, with applications for amplicon, whole-genome, metabolomic and qPCR data. The Statistical Diversity Lab develops tools that are biome-agnostic, spanning a variety of applications in human and environmental health, and develops and sustains long-term collaborative relationships with outstanding microbial ecologists and computational biologists.

Professor Willis’s research background is in boundary value problems, hierarchical modeling, statistical inference on non-Euclidean metric spaces, discrete data models, and applied probability.

To get in contact with Professor Willis, email at ad[last-name]@uw.edu.