I am a Canadian Rubin Fellow at the University of Toronto, working on cosmology and supernova science with Rubin survey data. My work applies a fully Bayesian framework to tackle the selection function and the coupled challenges of photometric redshift estimation, classification, and distance measurement.

Before Toronto, I held a postdoctoral position at Université de Montréal, supported by NSERC and CITA fellowships, where I worked on astrostatistics, astronomical image processing, and gravitational lensing. My doctoral work at Queen’s University focused on developing Bayesian methods for measuring diversity in galaxy populations.

Beyond research, I enjoy astrophotography, science outreach, hiking, tabletop gaming, and travel. My latest major project is raising my sons Orion and Leo, with my wife Jessica.

Research interests

  • Cosmology and supernova science with Rubin/LSST
  • Astrostatistics and Bayesian inference
  • Astronomical image processing
  • Strong gravitational lensing

Education

For more detail, see my CV page.

Contact

connor.stone@utoronto.ca