The Joyce Lab at the University of Wyoming

The Joyce Lab specializes in the application of high-performance computing, statistics, and data science techniques to problems in stellar astrophysics, especially stellar structure and evolution, stellar variability, and Galactic archaeology.

Current Members

Dr Niall Miller - Postdoctoral Associate

Niall Miller

Dr Miller's current research explores stellar age relationships in the Galactic Bulge. His work combines galactic chemical evolution simulations with novel data science approaches to advance our understanding of stellar populations and Galactic evolution. Additionally, he is contributing to the refinement of the MESA colo(u)rs module, aiming to enable the generation of realistic, on-the-fly light curves for any filter and stellar atmosphere model. Prior to joining the University of Wyoming, Dr Miller completed his PhD at the University of Hertfordshire. His doctoral work focused on leveraging machine learning to analyse large-scale infrared surveys, culminating in the creation of PRIMVS—a comprehensive catalog of infrared periodic variable stars identified in the VVV survey. He developed neural network-based methods to improve the reliability and completeness of variable star identification. This work also employed contrastive learning techniques to characterise and classify periodic variable stars without relying on prior assumptions. Dr. Miller’s broader research interests include stellar variability, Galactic structure, and the application of machine learning to time-domain astronomy.



Caleb Eastlund - PhD Student

Caleb Eastlund



Caleb is currently using the GYRE stellar oscillation code to derive asteroseismic parameters for rare, multiply-constrained stellar targets. Ideally, the information gained from these endeavors can then be used to discern between physical assumptions in stellar models.



Eliza Frankel - PhD Student

Eliza Frankel



Eliza is using MESA to construct large grids of stellar tracks of low-mass stars. These will be used to create isochrones which will resolve discrepancies in the modeled ages of stars that are said to be older than the age of the universe.





Josh Wanninger - PhD Student

Josh Wanninger



Josh works on a project with Dr. Joyce and her postdoc Dr. Miller on improving the classification of variable star types using fancy linear algebra, more commonly labeled 'machine learning' in the literature. My project concerns simulating the physical processes of variable stars to better understand the many perturbations seen in light curves and break the degeneracy between some variable star classification types!