My work on Gaia data is focussed on the problem of determining the correlations between output parameters from Gaia data analysis. This follows the thesis work on this topic by Berry Holl
My dynamical modelling research is dominated by the study of the Milky Way, and how best to interpret and exploit the enormously rich but confusing data we are gaining from numerous large surveys, with intention of being prepared for Gaia data.
In particular I'm focused on producing dynamical models which can be compared to observations of the Milky Way, as it's only through understanding the Galaxy's dynamics that we will be able to discover anything about its dark matter content, or infer anything about the regions of the Galaxy that we can't survey from those we can.
I work primarily on methods which exploit action-angle coordinates. A major focus is the "torus machinery" which operates on an orbit-by-orbit basis (e.g. "Analysing surveys of our Galaxy I: basic astrometric data"), but also on approximations that allow other forms of calculations, such as determining the Milky Way potential from survey data ("Analysing surveys of our Galaxy - II. Determining the potential").
Additionally I have dedicated significant work to interpreting simpler datasets in an effort to establish our current level of knowledge about the Milky Way. This includes my paper "The uncertainty in Galactic parameters" which analysed observations of maser sources, and "Mass models of the Milky Way" which attempts to distill our current understanding of the Galaxy's structure into a single model.