$ whoami
Oliver Oayda
PhD Student @ The University of Sydney
I work in astrophysics and cosmology, focusing on the cosmic dipole tension. My research combines Bayesian inference, simulation-based methods and large-scale surveys to test the cosmological principle.
$ tree research-areas/
research-areas/ ├── Cosmic dipole tension ├── Bayesian statistics ├── Simulation-based inference ├── Large-scale galaxy surveys ├── Survey systematics └── Machine learning in cosmology
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Selected Publications
Read more about my research here.
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Wising up to CatWISE: using simulation-based inference to interpret the ecliptic bias and confirm the cosmic dipole excess
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Cosmic multipoles in galaxy surveys I. How inferences depend on source counts and masks
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A Bayesian approach to the cosmic dipole in radio galaxy surveys: joint analysis of NVSS and RACS
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Testing the cosmological principle: on the time dilation of distant sources
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Recent Conference Talks
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Asian-Pacific SKA Science Meeting, Thailand
The cosmic dipole tension: view with the SKA
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MaxEnt2025, New Zealand
Decoding the cosmic dipole with likelihood-based and likelihood-free inference
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CosmoVerse@Istanbul, Türkiye
Confronting the cosmic dipole tension: systematics, surveys and statistics
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Education
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PhD in Physics
Sydney Institute for Astronomy, The University of Sydney
- Thesis: Using Bayesian Inference to Measure the Cosmic Dipole
- Expected submission: July 2026.
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Physics Honours
Sydney Institute for Astronomy, The University of Sydney
- First Class Honours and University Medal.
- Thesis: A Novel Test of the Cosmological Principle
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Bachelor of Science
School of Physics, The University of Sydney