
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
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)  
  
  First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters
          – The Astrophysical Journal Letters  
  
          (2019)  
  
          872,   
  
          L30  
  
          (doi: 10.3847/2041-8213/ab04fa)  
  
  Simulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints
          – Astrophysical Journal  
  
          (2018)  
  
          867,   
  
          23  
  
          (doi: 10.3847/1538-4357/aac08b)  
  
  Extending Supernova Spectral Templates for Next-generation Space Telescope Observations
          – Publications of the Astronomical Society of the Pacific  
  
          (2018)  
  
          130,   
  
          114504  
  
          (doi: 10.1088/1538-3873/aadb7a)  
  
  The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
          (2018)  
  
          (doi: 10.48550/arxiv.1809.11145)  
  
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