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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

Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling
EE Hayes, S Dhawan, KS Mandel, DO Jones, RJ Foley, S Thorp, M Grayling, SM Ward, A Do, D Langeroodi, N Earl, KM de Soto, G Narayan, K Auchettl, T de Boer, KC Chambers, DA Coulter, C Gall, H Gao, L Izzo, C-C Lin, EA Magnier, A Rest, Q Wang
– Monthly Notices of the Royal Astronomical Society
(2025)
staf1056
(doi: 10.1093/mnras/staf1056)
DAmodel: Hierarchical Bayesian Modelling of DA White Dwarfs for Spectrophotometric Calibration
BM Boyd, G Narayan, KS Mandel, M Grayling, A Saha, T Axelrod, T Matheson, EW Olszewski, A Calamida, A Do, RC Bohlin, JB Holberg, I Hubeny, S Deustua, A Rest, CW Stubbs, A Berres, M Li, JW Mackenty, E Sabbi
– Monthly Notices of the Royal Astronomical Society
(2025)
540,
385
(doi: 10.1093/mnras/staf629)
The Multimodal Universe: 100 TB of Machine Learning Ready Astronomical 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, M Walmsley, JF Wu
– Research Notes of the AAS
(2024)
8,
301
(doi: 10.3847/2515-5172/ad9a63)
Six Maxims of Statistical Acumen for Astronomical Data Analysis
H Tak, Y Chen, VL Kashyap, KS Mandel, XL Meng, A Siemiginowska, DA van Dyk
– Astrophysical Journal Supplement Series
(2024)
275,
30
(doi: 10.3847/1538-4365/ad8440)
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, T de 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
– Monthly Notices of the Royal Astronomical Society
(2024)
536,
624
(doi: 10.1093/mnras/stae2501)
Variational inference for acceleration of SN Ia photometric distance estimation with BayeSN
ASM Uzsoy, S Thorp, M Grayling, KS Mandel
– Monthly Notices of the Royal Astronomical Society
(2024)
535,
2306
(doi: 10.1093/mnras/stae2465)
Quantifying interstellar extinction at high galactic latitudes
M O’Callaghan, G Gilmore, KS Mandel
– Monthly Notices of the Royal Astronomical Society
(2024)
535,
2149
(doi: 10.1093/mnras/stae2397)
Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams
PD Aleo, AW Engel, G Narayan, CR Angus, K Malanchev, K Auchettl, VF Baldassare, A Berres, TJL de Boer, BM Boyd, KC Chambers, KW Davis, N Esquivel, D Farias, RJ Foley, A Gagliano, C Gall, H Gao, S Gomez, M Grayling, DO Jones, CC Lin, EA Magnier, KS Mandel, T Matheson, SI Raimundo, VG Shah, MD Soraisam, KM de Soto, S Vicencio, VA Villar, RJ Wainscoat
– Astrophysical Journal
(2024)
974,
172
(doi: 10.3847/1538-4357/ad6869)
Scalable hierarchical BayeSN inference: investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift
M Grayling, S Thorp, KS Mandel, S Dhawan, ASM Uzsoy, BM Boyd, EE Hayes, SM Ward
– Monthly Notices of the Royal Astronomical Society
(2024)
531,
953
(doi: 10.1093/mnras/stae1202)
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)
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Frontpage talks

16
Jul
16:30 - 18:00: Statistics Clinic Summer 2025 I
Cambridge Statistics Clinic
Speaker to be confirmed
Cambridge Statistics Clinic
Speaker to be confirmed
Cambridge Statistics Clinic
Speaker to be confirmed
Cambridge Statistics Clinic
Speaker to be confirmed

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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