skip to content
Home

Department of Pure Mathematics and Mathematical Statistics

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

Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
R Hložek, AI Malz, KA Ponder, M Dai, G Narayan, EEO Ishida, TA AllamJr, 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, JR Martínez-Galarza, JD McEwen, D Muthukrishna, Y Nakatsuka, T Noumi, T Oya, HV Peiris, CM Peters, JF Puget, CN Setzer, Siddhartha, S Stefanov, T Xie, L Yan, KH Yeh, W Zuo
– Astrophysical Journal, Supplement Series
(2023)
267,
25
(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)
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, M Postman, K Schmidt, K Sharon, B Tucker, A van der Linden, J Wambganss
– Astrophysical Journal
(2023)
948,
93
(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, C McCully, M Postman, KB Schmidt, BE Tucker, A von der Linden
– Science
(2023)
380,
eabh1322
(doi: 10.1126/science.abh1322)
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 Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae
PD Aleo, K Malanchev, S Sharief, DO Jones, G Narayan, RJ Foley, VA Villar, CR Angus, VF Baldassare, MJ Bustamante-Rosell, D Chatterjee, C Cold, DA Coulter, KW Davis, S Dhawan, MR Drout, A Engel, KD French, A Gagliano, C Gall, J Hjorth, ME Huber, WV Jacobson-Galán, CD Kilpatrick, D Langeroodi, P Macias, KS Mandel, R Margutti, F Matasić, P McGill, JDR Pierel, E Ramirez-Ruiz, CL Ransome, C Rojas-Bravo, MR Siebert, KW Smith, KM De Soto, MC Stroh, S Tinyanont, K Taggart, SM Ward, R Wojtak, K Auchettl, PK Blanchard, TJL De Boer, BM Boyd, CM Carroll, KC Chambers, L Demarchi, G Dimitriadis, SA Dodd, N Earl, D Farias, H Gao, S Gomez, M Grayling, C Grillo, EE Hayes, T Hung, L Izzo, N Khetan, AN Kolborg, JAP Law-Smith, N Lebaron, CC Lin, Y Luo, EA Magnier, D Matthews, B Mockler, AJG O'Grady, YC Pan, CA Politsch, SI Raimundo, A Rest, R Ridden-Harper, A Sarangi, SL Schrøder, SJ Smartt, G Terreran, S Thorp, J Vazquez, RJ Wainscoat, Q Wang, AR Wasserman, SK Yadavalli, R Yarza, Y Zenati
– The Astrophysical Journal Supplement Series
(2023)
266,
9
(doi: 10.3847/1538-4365/acbfba)
The DEHVILS survey overview and initial data release: high-quality near-infrared Type Ia supernova light curves at low redshift
ER Peterson, DO Jones, D Scolnic, BO Sánchez, A Do, AG Riess, SM Ward, A Dwomoh, T de Jaeger, SW Jha, KS Mandel, JDR Pierel, B Popovic, BM Rose, D Rubin, BJ Shappee, S Thorp, JL Tonry, RB Tully, M Vincenzi
– Monthly Notices of the Royal Astronomical Society
(2023)
522,
2478
(doi: 10.1093/mnras/stad1077)
The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae
PD Aleo, K Malanchev, S Sharief, DO Jones, G Narayan, RJ Foley, VA Villar, CR Angus, VF Baldassare, MJ Bustamante-Rosell, D Chatterjee, C Cold, DA Coulter, KW Davis, S Dhawan, MR Drout, A Engel, KD French, A Gagliano, C Gall, J Hjorth, ME Huber, WV Jacobson-Galán, CD Kilpatrick, D Langeroodi, KS Mandel, R Margutti, F Matasić, P McGill, JDR Pierel, E Ramirez-Ruiz, CL Ransome, C Rojas-Bravo, MR Siebert, KW Smith, KMD Soto, MC Stroh, S Tinyanont, K Taggart, SM Ward, R Wojtak, K Auchettl, PK Blanchard, TJLD Boer, BM Boyd, CM Carroll, KC Chambers, L DeMarchi, G Dimitriadis, SA Dodd, N Earl, D Farias, H Gao, S Gomez, M Grayling, C Grillo, EE Hayes, T Hung, L Izzo, N Khetan, JAP Law-Smith, N LeBaron, C-C Lin, Y Luo, EA Magnier, D Matthews, AJG O'Grady, Y-C Pan, CA Politsch, SI Raimundo, A Rest, R Ridden-Harper, A Sarangi, SJ Smartt, G Terreran, S Thorp, J Vazquez, RJ Wainscoat, Q Wang, AR Wasserman, SK Yadavalli, R Yarza, Y Zenati
(2022)
(link to publication)
Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves
S Thorp, KS Mandel
– Monthly Notices of the Royal Astronomical Society
(2022)
517,
2360
(doi: 10.1093/mnras/stac2714)
Real-time detection of anomalies in large-scale transient surveys
D Muthukrishna, KS Mandel, M Lochner, S Webb, G Narayan
– Monthly Notices of the Royal Astronomical Society
(2022)
517,
393
(doi: 10.1093/mnras/stac2582)
  • <
  • 2 of 6
  • >

Email

kmandel@statslab.cam.ac.uk

Room

D1.07

Telephone

01223 337955

Personal homepage

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

    Study at Cambridge

    About the University

    Research at Cambridge