My research falls into an emerging and growing cross-disciplinary field called astrostatistics. Astrostatistics is at the interface of astronomy and statistics; it includes the application of modern statistical tools to astronomy research, and also involves developing new statistical tools for astronomy which may be useful to other disciplines too. You can see a list of publications at the bottom of this page.

On the statistics side, I am interested in Bayesian inference, adaptive and novel MCMC methods, and probability distributions. Recently, I have also been learning about spectral analysis — the area of statistics that studies time series data in the frequency domain. My motivation to learn about these topics is fueled by my research interests in astronomy and astrophysics. I am an astrophysicist first and foremost, afterall!

My main research interests in astronomy are related to the Milky Way Galaxy. I have developed a method to estimate the total mass of the Milky Way and its dark matter halo by using the positions and velocities of "tracer" objects such as globular clusters and dwarf galaxies. Many studies have tried to estimate the mass of the Milky Way, but the estimates span a large range of masses and many are in stark disagreement with one another. To obtain a better estimate, I adopted a hierarchical Bayesian approach which allows for the inclusion of measurement uncertainties and incomplete data. With this new method, I estimated a cumulative mass profile — as opposed to point estimates — for the Galaxy (see publication list below).

I have also become interested in asteroseismology and, more generally, the analysis of time series data in astronomy. I am researching new methods from the statistics literature that estimate periodicities in time series data which are unevenly sampled in time. Reliable methods for analyzing such time series will be needed with the upcoming data form the Zwicky Transient Facility and the Large Synoptic Survey Telescope.


  1. Eadie, G., Huppenkothen, D., Springford, A., and T. McCormick (2019). Introducing Bayesian analysis with m&m's: an active-learning strategy for undergraduates, The Journal of Statistics Education, DOI:10.1080/10691898.2019.1604106
  2. Eadie, G. and Jurić (2019). The cumulative mass profile of the Milky Way as determined by globular cluster kinematics from Gaia DR2 , The Astrophysical Journal, 875(2).
  3. Eadie, G., Keller, B.W., and W. Harris (2018). Estimating galaxy masses using hierarchical Bayes: a blind test on MUGS2 simulated galaxies, The Astrophysical Journal, 865, 72.
  4. Eadie, G., Springford, A., and W. Harris (2017). Hierarchical Bayesian Mass Estimates of the Milky Way: Including Measurement Uncertainties with Hierarchical Bayes. The Astrophysical Journal, 835(2), 167. NOTE: there is an erratum for this article (ApJ 838, 76).
  5. Harris, W., Ciccone, S., Eadie, G., Gnedin, O., Geisler, D., Rotherber, B., and J. Bailin. (2017) Globular Cluster Systems in Brightest Cluster Galaxies. III: Beyond Bimodality. The Astrophysical Journal, 835(1), 101.
  6. Eadie, G. and W. Harris (2016). Bayesian Mass Estimates of the Milky Way: The Dark and Light Sides of Parameter Assumptions. The Astrophysical Journal, 829(2), 108.
  7. Eadie, G., Harris, W., Widrow, L. and A. Springford (2016) Tracing the Galactic Halo: Obtaining Bayesian mass estimates of the Galaxy in the presence of incomplete data. Volume 11, Symposium S317, Proceedings of the International Astronomical Union, pp 296-297.
  8. Eadie, G., Harris, W., and L. Widrow (2015). Estimating the Galactic Mass Profile in the Presence of Incomplete Data. The Astrophysical Journal, 806(1), 54.
  9. Eadie, G., Harris, W., and A. Springford (2015). Incomplete Data and Measurement Error in the Galactic Mass Estimation Problem. 2015 Joint Statistical Meetings (JSM) Proceedings, American Statistical Association (ASA).
  10. Eadie, G. (2014). Measuring the Mass of a Galaxy: An evaluation of the performance of Bayesian mass estimates using statistical simulation. 2015 JSM Proceedings, ASA.


  • PhD Thesis* (August 2017). Lights in Dark Places: Inferring the Milky Way Mass Profile using Galactic Satellites and Hierarchical Bayes . McMaster University, Ontario, Canada

    Supervisor: William Harris

    *awarded the J.S. Plaskett Medal

  • MSc Thesis (2013). Measuring the Mass of a Galaxy: An evaluation of the performance of Bayesian mass estimates using statistical simulation. Queen's University at Kingston, Ontario, Canada. Master's Thesis.

    Supervisors: Lawrence Widrow and Stephane Courteau

  • BSc Honours Thesis (2010). A PAndAS Project: Measuring structural parameters of globular clusters in M31. (2010). Simon Fraser University, British Columbia, Canada. Bachelor's Honours.

    Supervisors: Harvey Richer (UBC) and Mike Thewalt (SFU)

  • Magazine Articles

    From 2011-2017, I volunteered to write a monthly astronomy column for the magazine "Vista", the 44-page monthly publication of the Seniors Association Kingston Region (Kingston, ON, Canada). Over these years I wrote over 35 articles, and below is a small sample. (Editors for all the articles below were Garvie, M. and Lewis, L.)

  • Eadie, G, "Return of the census: Mapping over a billion stars with Gaia", 40(9):16, 2016.
  • Eadie, G, "Observing Saturn and Mars in July", 40(7):16, 2016.
  • Eadie, G and Springford, A, "Neutron Stars and Pulsars", 40(6):21, 2016.
  • Eadie, G and Springford, A, "The curtain falls on the Huygens-Cassini missions", 40(3):16, 2016.
  • Eadie, G, "Nobel Prize goes to Queen's University Physics Professor", 40(1):15, 2016.