I am a Kavli Fellow at KICC and Cavendish Astrophysics working on machine learning and data analysis tools for 21-cm cosmology and astrophysics more generally. I am a memeber of the REACH and CosmoCube collaborations.
I have worked on foreground modelling techniques for 21cm Cosmology, neural network signal emulators, applications of density estimation with normalising flows, tension quantification with machine learning and bounds on the accuracy of inference with emulators. I have applied these tools to real data from EDGES, LEDA, SARAS2, SARAS3, HERA and other instruments. I've also worked with data from JWST and hierarchical modelling of supernova populations.
Cosmology
Bayesian Analysis
Machine Learning
