Joshua SpeagleProfile page
Assistant Professor
Faculty of Arts and Science, Department of Statistical Sciences
Orcid identifier0000-0002-5065-9896
- Assistant ProfessorFaculty of Arts and Science, Department of Statistical Sciences
BIO
Joshua Speagle is an Assistant Professor of Astrostatistics jointly appointed between the Department of Statistical Sciences and the David A. Dunlap Department of Astronomy & Astrophysics at the University of Toronto. He is also an Associate Member of the Dunlap Institute for Astronomy & Astrophysics as well as a Member of the Data Sciences Institute.
Prof. Speagle's research focuses on using a combination of astronomy, statistics, and computer science to understand how galaxies like our own Milky Way form, behave, and evolve over time. This often involves working with massive datasets from wide-field imaging and spectroscopic surveys containing observations ranging from billions of stars and galaxies to interstellar gas and dust.
Prof. Speagle's research focuses on using a combination of astronomy, statistics, and computer science to understand how galaxies like our own Milky Way form, behave, and evolve over time. This often involves working with massive datasets from wide-field imaging and spectroscopic surveys containing observations ranging from billions of stars and galaxies to interstellar gas and dust.
ACADEMIC POSITIONS
- Assistant ProfessorUniversity of Toronto, Department of Statistical Sciences and Department of Astronomy & Astrophysics, Toronto, Canada2022 - present
DEGREES
- Ph.D., AstronomyHarvard University, Cambridge, United States2016 - 2020
- M.A., AstronomyHarvard University, Cambridge, United States2016 - 2020
- B.A., Astrophysics and PhysicsHarvard University, Cambridge, United States2011 - 2015
POSTGRADUATE TRAINING
- Banting Postdoctoral FellowUniversity of Toronto, Toronto, Canada2020 - 2022Postdoctoral FellowshipSupervised by Gwen E
- Dunlap Postdoctoral FellowUniversity of Toronto, Toronto, Canada2020 - 2022Postdoctoral Fellowship
- Project Academic Support StaffUniversity of Tokyo, Kavli IPMU, Tokyo, Japan2015 - 2016Predoctoral Fellowship
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
AVAILABILITY
- Masters Research or PhD student supervision
- Collaborative projects
- Media enquiries
- Mentoring (long-term)
- Mentoring (short-term)
INSTITUTIONAL STRATEGIC INITIATIVES
- Data Sciences Institute (DSI)