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. From 2023, I am Chair of the Astrostatistics Interest Group of the American Statistical Association. 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
A hierarchical Bayesian SED model for Type Ia supernovae in the optical to near-infrared
– Monthly Notices of the Royal Astronomical Society
(2021)
510,
3939
(doi: 10.1093/mnras/stab3496)
Testing the consistency of dust laws in SN Ia host galaxies: A BayeSN Examination of Foundation DR1
– Monthly Notices of the Royal Astronomical Society
(2021)
508,
stab2849-
(doi: 10.1093/mnras/stab2849)
First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy
– The Astronomical Journal
(2020)
160,
267
(doi: 10.3847/1538-3881/abc01b)
Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared
– The Astrophysical Journal
(2019)
887,
106
(doi: 10.3847/1538-4357/ab2a16)
The Photometric LSST Astronomical Time-series Classification Challenge PLAsTiCC: Selection of a Performance Metric for Classification Probabilities Balancing Diverse Science Goals
– The Astronomical Journal
(2019)
158,
171
(doi: 10.3847/1538-3881/ab3a2f)
Rapid: Early classification of explosive transients using deep learning
– Publications of the Astronomical Society of the Pacific
(2019)
131,
118002
(doi: 10.1088/1538-3873/ab1609)
Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
– Publications of the Astronomical Society of the Pacific
(2019)
131,
094501
(doi: 10.1088/1538-3873/ab26f1)
First cosmology results using Type Ia supernova from the Dark Energy Survey: Simulations to correct supernova distance biases
– Monthly Notices of the Royal Astronomical Society
(2019)
485,
1171
(doi: 10.1093/mnras/stz463)
Subpercent Photometry: Faint da White Dwarf Spectrophotometric Standards for Astrophysical Observatories
– Astrophysical Journal, Supplement Series
(2019)
241,
20
(doi: 10.3847/1538-4365/ab0557)
First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation
– Astrophysical Journal
(2019)
874,
150
(doi: 10.3847/1538-4357/ab08a0)
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