Statistical Science
Methodologic research on nonparametric Bayes, latent structure learning, big data, scalable Bayesian inferences, machine learning, and high-dimensional low sample size problems. Applications in epidemiology, environmental health, neurosciences, genetics, and fertility.
Focus Areas:
Dana Hunt, PhD Nicholas School of the Environment Located at the Duke University Marine Lab Investigates functional dynamics of microbes in response […]
Marc Deshusses, PhD Pratt School of Engineering: Civil & Environmental Engineering Dr. Deshusses’ research interests are related to the design, analysis and […]
Tenley earned her B.S. in Neurobiology from the University of Washington in 2018. After graduating, she did a fellowship at the National […]
Beverly earned her B.S. in Biology from Massachusetts Institute of Technology then worked as a research technician in several labs studying a […]
