= David Dunson
{c}
<David Dunson> develops <Bayesian inference> and statistical <machine learning> for complex data. His research seeks lower-dimensional structure in observations such as networks, functions and biological measurements, with applications in <ecology>, <neuroscience> and environmental health.https://stat.duke.edu/research/dunson[First-person institutional research description]{ref}
A model may represent many dependent measurements through a smaller set of latent quantities, then carry uncertainty about those quantities into predictions. Dunson's work couples flexible modelling with algorithms for <Bayesian inference> and <uncertainty quantification>. He is also a coauthor of <Bayesian Data Analysis by Andrew Gelman and others>.<Bayesian Data Analysis by Andrew Gelman and others>[Verified third-edition coauthor list]{ref}
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