Gwendolyn Eadie
Assistant Professor, DADDAA & Statistics
Research:
astrostatistics, Bayesian hierarchical modelling, Milky Way structure and dynamics, globular clusters, time series analysis, MCMC and sampling methods
Education:
PhD 2017, McMaster University
My research is in the interdisciplinary field of astrostatistics, and I am jointly-appointed between the Department of Astronomy & Astrophysics and the Department of Statistical Sciences. I am interested in using and developing modern statistical methods for astronomy applications to answer fundamental questions about the universe. For example, I use hierarchical Bayesian analysis to study the dark matter halo of the Milky Way and other galaxies, and am developing new time series analysis methods to learn about the internal structure of stars.
