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Statistical Laboratory

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 the Past Chair of the Astrostatistics Interest Group of the American Statistical Association, a member of the Council of the International Astrostatistics Association, and Turing Fellow Alumnus of The Alan Turing Institute. I am a founder and co-organiser of the Cambridge Astro Data Science Discussion Group. My research interests lie at the intersections of astrophysics, cosmology, statistics, and machine learning, and include:

  • Astrostatistics, astronomical machine learning, astroinformatics
  • Statistical applications in time-domain astronomy and cosmology
  • Bayesian modelling and inference
  • Statistical computation

Publications

gausSN: Bayesian time-delay estimation for strongly lensed supernovae
EE Hayes, S Thorp, KS Mandel, N Arendse, M Grayling, S Dhawan
– 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
S Thorp, KS Mandel, DO Jones, RP Kirshner, PM Challis
– 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
K Karchev, M Grayling, BM Boyd, R Trotta, KS Mandel, C Weniger
– Monthly Notices of the Royal Astronomical Society
(2024)
530,
3881
(doi: 10.1093/mnras/stae995)
Hawai'i Supernova Flows: A Peculiar Velocity Survey Using Over a Thousand Supernovae in the Near-Infrared
A Do, BJ Shappee, JL Tonry, RB Tully, TD Jaeger, D Rubin, C Ashall, CR Burns, DD Desai, JT Hinkle, WB Hoogendam, ME Huber, DO Jones, KS Mandel, AV Payne, ER Peterson, D Scolnic, MA Tucker
(2024)
(link to publication)
Flight of the Bumblebee: the Early Excess Flux of Type Ia Supernova 2023bee Revealed by TESS, Swift, and Young Supernova Experiment Observations
Q Wang, A Rest, G Dimitriadis, R Ridden-Harper, MR Siebert, M Magee, CR Angus, K Auchettl, KW Davis, RJ Foley, OD Fox, S Gomez, JE Jencson, DO Jones, CD Kilpatrick, JDR Pierel, AL Piro, A Polin, CA Politsch, C Rojas-Bravo, M Shahbandeh, VA Villar, Y Zenati, C Ashall, KC Chambers, DA Coulter, T de Boer, N DiLullo, C Gall, H Gao, EY Hsiao, ME Huber, L Izzo, N Khetan, N LeBaron, EA Magnier, KS Mandel, P McGill, H-Y Miao, Y-C Pan, CP Stevens, JJ Swift, K Taggart, G Yang
– Astrophysical Journal
(2024)
962,
17
(doi: 10.3847/1538-4357/ad0edb)
Keck Infrared Transient Survey. I. Survey Description and Data Release 1
S Tinyanont, RJ Foley, K Taggart, KW Davis, N LeBaron, JE Andrews, MJ Bustamante-Rosell, Y Camacho-Neves, R Chornock, DA Coulter, L Galbany, SW Jha, CD Kilpatrick, LA Kwok, C Larison, JR Pierel, MR Siebert, G Aldering, K Auchettl, JS Bloom, S Dhawan, AV Filippenko, KD French, A Gagliano, M Grayling, DA Howell, WV Jacobson-Galán, DO Jones, X Le Saux, P Macias, KS Mandel, C McCully, EP Gonzalez, A Rest, J Rho, C Rojas-Bravo, MF Skrutskie, S Thorp, Q Wang, SM Ward
– Publications of the Astronomical Society of the Pacific
(2024)
136,
014201
(doi: 10.1088/1538-3873/ad1b39)
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 Ciucă, M Cranmer, A Do, M Grayling, EE Hayes, T Hehir, S Ho, M Huertas-Company, KG Iyer, M Jablonska, F Lanusse, HW Leung, K Mandel, JR Martínez-Galarza, P Melchior, L Meyer, LH Parker, H Qu, J Shen, MJ Smith, C Stone, M Walmsley, JF Wu
– Advances in Neural Information Processing Systems
(2024)
37,
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 RV 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)
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Frontpage talks

Probability
Anirban Basak (ICTS, Tata Institute)
Statistics
Botond Szabo (Bocconi University)
17
Feb
14:00 - 15:00: Tba
Probability
Erwin Bolthausen (Universität Zürich)
18
Feb
16:30 - 18:00: Statistics Clinic Lent 2026 III
Cambridge Statistics Clinic
Speaker to be confirmed
Statistics
Chiara Amorino (Universitat Pompeu Fabra)

Research Group

Statistical Laboratory

Email

kmandel@statslab.cam.ac.uk

Room

D1.07

Telephone

01223 337955

Personal homepage

https://www.dpmms.cam.ac.uk/~km723

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