My academic journey began with an undergraduate degree in Natural Sciences from Cambridge. I then moved out west to study for a PhD in the Theoretical Astrophysics group at the California Institute of Technology. From there I migrated east as a Hubble Fellow at the Harvard-Smithsonian Center for Astrophysics. In 2011, I joined the Physics department at Imperial College London as a lecturer in Astrostatistics. My research addresses the first billion years after the big bang, focussing on the period when the first generations of stars and galaxies formed. I'm particularly interested in the possibility of using new radio frequency observations with telescopes like LOFAR and the Square Kilometer Array to learn about this period.
et al., 2018, Quantifying the non-Gaussianity in the EoR 21-cm signal through bispectrum, Monthly Notices of the Royal Astronomical Society, Vol:476, ISSN:0035-8711, Pages:4007-4024
Schmit CJ, Pritchard JR, 2018, Emulation of reionization simulations for Bayesian inference of astrophysics parameters using neural networks, Monthly Notices of the Royal Astronomical Society, Vol:475, ISSN:0035-8711, Pages:1213-1223
et al., 2017, A fast estimator for the bispectrum and beyond - a practical method for measuring non-Gaussianity in 21-cm maps, Monthly Notices of the Royal Astronomical Society, Vol:472, ISSN:0035-8711, Pages:2436-2446
et al., 2017, A Space-based Observational Strategy for Characterizing the First Stars and Galaxies Using the Redshifted 21cm Global Spectrum, Astrophysical Journal, Vol:844, ISSN:0004-637X
Schmit CJ, Pritchard JR, 2017, Neural Network Emulation of Reionization Simulations, Proceedings of the International Astronomical Union, Vol:12, ISSN:1743-9213, Pages:43-46