Professor Kaisey Mandel

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

RAPID: Early Classification of Explosive Transients Using Deep Learning

D Muthukrishna, G Narayan, KS Mandel, R Biswas, R Hložek

– 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)

R Kessler, G Narayan, A Avelino, E Bachelet, R Biswas, PJ Brown, DF Chernoff, AJ Connolly, M Dai, S Daniel, RD Stefano, MR Drout, L Galbany, S González-Gaitán, ML Graham, R Hložek, EEO Ishida, J Guillochon, SW Jha, DO Jones, KS Mandel, D Muthukrishna, A O’grady, CM Peters, JR Pierel et al.

– 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

R Kessler, D Brout, CB D'Andrea, TM Davis, SR Hinton, AG Kim, J Lasker, C Lidman, E Macaulay, A Moeller, M Sako, D Scolnic, M Smith, M Sullivan, B Zhang, P Andersen, J Asorey, A Avelino, J Calcino, D Carollo, P Challis, M Childress, A Clocchiatti, S Crawford, AV Filippenko et al.

– Monthly Notices of the Royal Astronomical Society

(2019)

485,

1171

(doi: 10.1093/mnras/stz463)

First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation

D Brout, D Scolnic, R Kessler, CB D'Andrea, TM Davis, RR Gupta, SR Hinton, AG Kim, J Lasker, C Lidman, E Macaulay, A Möller, RC Nichol, M Sako, M Smith, M Sullivan, B Zhang, P Andersen, J Asorey, A Avelino, BA Bassett, P Brown, J Calcino, D Carollo, P Challis et al.

– The Astrophysical Journal

(2019)

874,

150

(doi: 10.3847/1538-4357/ab08a0)

Subpercent Photometry: Faint DA White Dwarf Spectrophotometric Standards for Astrophysical Observatories

G Narayan, T Matheson, A Saha, T Axelrod, A Calamida, E Olszewski, J Claver, KS Mandel, RC Bohlin, JB Holberg, S Deustua, A Rest, CW Stubbs, CE Shanahan, AL Vaz, A Zenteno, G Strampelli, I Hubeny, S Points, E Sabbi, J MacKenty

– The Astrophysical Journal Supplement Series

(2019)

241,

(doi: 10.3847/1538-4365/ab0557)

First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters

TMC Abbott, S Allam, P Andersen, C Angus, J Asorey, A Avelino, S Avila, BA Bassett, K Bechtol, GM Bernstein, E Bertin, D Brooks, D Brout, P Brown, DL Burke, J Calcino, AC Rosell, D Carollo, M Carrasco Kind, J Carretero, R Casas, FJ Castander, R Cawthon, P Challis, M Childress et al.

– The Astrophysical Journal Letters

(2019)

872,

L30

(doi: 10.3847/2041-8213/ab04fa)

Extending Supernova Spectral Templates for Next-generation Space Telescope Observations

JDR Pierel, S Rodney, A Avelino, F Bianco, AV Filippenko, RJ Foley, A Friedman, M Hicken, R Hounsell, SW Jha, R Kessler, RP Kirshner, K Mandel, G Narayan, D Scolnic, L Strolger

– Publications of the Astronomical Society of the Pacific

(2018)

130,

114504

(doi: 10.1088/1538-3873/aadb7a)

Simulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints

R Hounsell, D Scolnic, RJ Foley, R Kessler, V Miranda, A Avelino, RC Bohlin, AV Filippenko, J Frieman, SW Jha, PL Kelly, RP Kirshner, K Mandel, A Rest, AG Riess, SA Rodney, L Strolger

– The Astrophysical Journal

(2018)

867,

(doi: 10.3847/1538-4357/aac08b)

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

TP team, TA Jr, A Bahmanyar, R Biswas, M Dai, L Galbany, R Hložek, EEO Ishida, SW Jha, DO Jones, R Kessler, M Lochner, AA Mahabal, AI Malz, KS Mandel, JR Martínez-Galarza, JD McEwen, D Muthukrishna, G Narayan, H Peiris, CM Peters, K Ponder, CN Setzer, TLSSTDES Collaboration, TLSST Transients et al.

(2018)

(doi: 10.48550/arxiv.1810.00001)

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals

AI Malz, R Hložek, TA Jr, A Bahmanyar, R Biswas, M Dai, L Galbany, EEO Ishida, SW Jha, DO Jones, R Kessler, M Lochner, AA Mahabal, KS Mandel, JR Martínez-Galarza, JD McEwen, D Muthukrishna, G Narayan, H Peiris, CM Peters, KA Ponder, CN Setzer, TLSSTDES Collaboration, TLSST Transients, VSS Collaboration

(2018)

(doi: 10.48550/arxiv.1809.11145)

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