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

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data

E Angeloudi, J Audenaert, M Bowles, BM Boyd, D Chemaly, B Cherinka, I Ciuca, M Cranmer, A Doh, M Grayling, EE Hayes, T Hehir, S Ho, M Huertas-Company, KG Iyer, M Jablonska, F Lanusse, HW Leung, K Mandel, JR Martinez-Galarza, P Melchior, L Meyer, LH Parker, H Qu, J Shen et al.

– Advances in Neural Information Processing Systems

(2024)

37,

(link to publication)

Avoiding methane emission rate underestimates when using the divergence method

C Roberts, R IJzermans, D Randell, M Jones, P Jonathan, K Mandel, B Hirst, O Shorttle

– Environmental Research Letters

(2023)

18,

114033

(doi: 10.1088/1748-9326/ad0252)

Bird-Snack: Bayesian inference of dust law R V distributions using SN Ia apparent colours at peak

SM Ward, S Dhawan, KS Mandel, M Grayling, S Thorp

– 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

SM Ward, S Thorp, KS Mandel, S Dhawan, DO Jones, K Taggart, RJ Foley, G Narayan, KC Chambers, DA Coulter, KW Davis, T de Boer, K de Soto, N Earl, A Gagliano, H Gao, J Hjorth, ME Huber, L Izzo, D Langeroodi, EA Magnier, P McGill, A Rest, C Rojas-Bravo, R Wojtak

– 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

CD Kilpatrick, RJ Foley, WV Jacobson-Galán, AL Piro, SJ Smartt, MR Drout, A Gagliano, C Gall, J Hjorth, DO Jones, KS Mandel, R Margutti, E Ramirez-Ruiz, CL Ransome, VA Villar, DA Coulter, H Gao, DJ Matthews, K Taggart, Y Zenati

– The Astrophysical Journal Letters

(2023)

952,

L23

(doi: 10.3847/2041-8213/ace4ca)

Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)

R Hložek, AI Malz, KA Ponder, M Dai, G Narayan, EEO Ishida, T Allam, A Bahmanyar, X Bi, R Biswas, K Boone, S Chen, N Du, A Erdem, L Galbany, A Garreta, SW Jha, DO Jones, R Kessler, M Lin, J Liu, M Lochner, AA Mahabal, KS Mandel, P Margolis et al.

– Astrophysical Journal Supplement Series

(2023)

267,

(doi: 10.3847/1538-4365/accd6a)

A BayeSN distance ladder: H0 from a consistent modelling of Type Ia supernovae from the optical to the near-infrared

S Dhawan, S Thorp, KS Mandel, SM Ward, G Narayan, SW Jha, T Chant

– Monthly Notices of the Royal Astronomical Society

(2023)

524,

235

(doi: 10.1093/mnras/stad1590)

Evidence for a Massive Andromeda Galaxy Using Satellite Galaxy Proper Motions

E Patel, KS Mandel

– The Astrophysical Journal

(2023)

948,

104

(doi: 10.3847/1538-4357/acc029)

The Magnificent Five Images of Supernova Refsdal: Time Delay and Magnification Measurements

P Kelly, S Rodney, T Treu, S Birrer, V Bonvin, L Dessart, R Foley, A Filippenko, D Gilman, S Jha, J Hjorth, K Mandel, M Millon, J Pierel, S Thorp, A Zitrin, T Broadhurst, W Chen, J Diego, A Dressler, O Graur, M Jauzac, M Malkan, C McCully, M Oguri et al.

– The Astrophysical Journal

(2023)

948,

(doi: 10.3847/1538-4357/ac4ccb)

Constraints on the Hubble constant from Supernova Refsdal’s reappearance

PL Kelly, S Rodney, T Treu, M Oguri, W Chen, A Zitrin, S Birrer, V Bonvin, L Dessart, JM Diego, AV Filippenko, RJ Foley, D Gilman, J Hjorth, M Jauzac, K Mandel, M Millon, J Pierel, K Sharon, S Thorp, L Williams, T Broadhurst, A Dressler, O Graur, S Jha et al.

– Science

(2023)

380,

eabh1322

(doi: 10.1126/science.abh1322)

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