Li Ma

Li Ma is Professor of Statistical Science and Biostatistics at Duke University. She develops Bayesian methods for high-dimensional data, with applications in image compression, cytometry, and microbiome research.

Her recent work includes probabilistic image representation techniques, hidden Markov Pólya trees for distribution modeling, and graphical models for microbiome data. She has contributed to pain research through genetic association studies and phenotypic clustering.

Ma leads NIH- and NSF-funded projects on statistical modeling of microbiome data and scalable inference. She is an ISBA and ASA Fellow and holds a CAREER award.