Published works include 'Common to rare transfer learning (CORAL) enables inference and prediction for a quarter million rare Malagasy arthropods' in Nature Methods, and 'BAYESIAN LEARNING OF CLINICALLY MEANINGFUL SEPSIS PHENOTYPES IN NORTHERN TANZANIA' in Annals of Applied Statistics, among others.
Research Experience
Arts and Sciences Distinguished Professor of Statistical Science at Duke University (2013-Present); Professor of Statistical Science (2008-Present); Professor in the Department of Mathematics (2014-Present); Faculty Network Member of the Duke Institute for Brain Sciences (2011-Present).
Background
Research interests include developing new tools for probabilistic learning from complex data, with applications in ecology/biodiversity, neuroscience, environmental health, criminal justice/fairness, and more. Aims to provide scientists and decision-makers with usable modeling frameworks, algorithms, and code. Also interested in new inference frameworks and studying their theoretical properties.