About me

I am a final year PhD student in Astrophysics at the University of Oxford (Balliol College), supervised by Harry Desmond, Julien Devriendt, and Adrianne Slyz. I specialize in Bayesian field-level inference and digital twins of the local Universe to bridge observations and theory. My research combines constrained cosmological simulations, semi-analytic galaxy formation models, simulation-based inference, and machine learning to test galaxy physics, map large-scale flows, and deliver precision measurements of cosmological parameters. I tackle distance-ladder cosmology, reconstruct the initial conditions of the Universe, probe the galaxy–halo connection, and explore the interface between cosmology, gravitational-wave astronomy, and machine learning.

Beyond astrophysical applications, I develop and apply advanced statistical methods to extract robust insights from complex datasets. I work extensively with Hamiltonian Monte Carlo and gradient-based samplers for scalable Bayesian inference, particularly hierarchical and field-level models that exploit these techniques. On the machine learning side, I use graph-based methods and geometric deep learning to capture physical structure. More broadly, I employ simulation-based inference, normalizing flows, and Gaussian processes to quantify uncertainties and reveal underlying physics.

Background

Most recently, I held a Pre-Doctoral Fellowship at the Flatiron Institute, working with Shy Genel and Lucia A. Perez on the application of cosmological rescaling to dark matter merger trees. In 2024, I undertook a four-month academic visit at the Institut d’Astrophysique de Paris, where I worked with Guilhem Lavaux on Bayesian field-level reconstructions of the local Universe. As part of my M.Sc. in Physics at the Ludwig Maximilian University of Munich, I worked with Miguel Zumalacárregui and Marius Oancea on strong-field lensing of gravitational waves. During my undergraduate degree at the University of Glasgow, I worked with John Veitch and Chris Messenger on gravitational-wave data analysis.

You can download a PDF version of my CV, which includes my full publication list. Alternatively, you can explore my publications directly via ADS.