I am the Professor of Astrostatistics and Data Science at the University of Cambridge. I hold this interdisciplinary faculty position jointly at the Statistical Laboratory of the Department of Pure Mathematics and Mathematical Statistics, and at the Institute of Astronomy. As of 2024, I am Past Chair of the Astrostatistics Interest Group of the American Statistical Association and a Turing Fellow Alumnus of The Alan Turing Institute. My research interests lie at the intersections of astrophysics, cosmology, statistics, and machine learning.
Research Interests: Astrostatistics and astroinformatics, Applications in time-domain astronomy and cosmology, Bayesian modeling and inference, Statistical computation
Publications
Scalable hierarchical BayeSN inference: investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift
– Monthly Notices of the Royal Astronomical Society
(2024)
531,
953
(doi: 10.1093/mnras/stae1202)
gausSN: Bayesian time-delay estimation for strongly lensed supernovae
– Monthly Notices of the Royal Astronomical Society
(2024)
530,
3942
(doi: 10.1093/mnras/stae1086)
Using rest-frame optical and NIR data from the RAISIN survey to explore the redshift evolution of dust laws in SN Ia host galaxies
– Monthly Notices of the Royal Astronomical Society
(2024)
530,
4016
(doi: 10.1093/mnras/stae1111)
SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data
– Monthly Notices of the Royal Astronomical Society
(2024)
530,
3881
(doi: 10.1093/mnras/stae995)
Flight of the Bumblebee: the Early Excess Flux of Type Ia Supernova 2023bee Revealed by TESS, Swift, and Young Supernova Experiment Observations
– The Astrophysical Journal
(2024)
962,
17
(doi: 10.3847/1538-4357/ad0edb)
Keck Infrared Transient Survey. I. Survey Description and Data Release 1
– Publications of the Astronomical Society of the Pacific
(2024)
136,
014201
(doi: 10.1088/1538-3873/ad1b39)
Avoiding methane emission rate underestimates when using the divergence method
– Environmental Research Letters
(2023)
18,
114033
(doi: 10.1088/1748-9326/ad0252)
Bird-Snack: Bayesian inference of dust law RV distributions using SN Ia apparent colours at peak
– Monthly Notices of the Royal Astronomical Society
(2023)
526,
5715
(doi: 10.1093/mnras/stad3159)
Relative Intrinsic Scatter in Hierarchical Type Ia Supernova Sibling Analyses: Application to SNe 2021hpr, 1997bq, and 2008fv in NGC 3147
– The Astrophysical Journal
(2023)
956,
111
(doi: 10.3847/1538-4357/acf7bb)
SN 2023ixf in Messier 101: A Variable Red Supergiant as the Progenitor Candidate to a Type II Supernova
– The Astrophysical Journal Letters
(2023)
952,
l23
(doi: 10.3847/2041-8213/ace4ca)
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