Kaisey S. Mandel

 

As of Autumn 2017, I am the University Lecturer (assistant professor) on Astrostatistics at the University of Cambridge.  I hold this interdisciplinary faculty position jointly at the Institute of Astronomy and the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics.


I was recently a postdoctoral fellow working with the CfA Supernova Group at the Harvard-Smithsonian Center for Astrophysics.  I also participate in the CHASC astrostatistics group at Harvard.  My research interests lie at the intersection of astrophysics, cosmology, statistics, and machine learning, and include:


  1. Statistical Models and Inference with Type Ia supernova (SN Ia) light curves (time series) and spectra

  2. Type Ia supernovae in the near infrared (NIR) as standard candles

  3. Hierarchical Models for Optical and NIR data of Type Ia SN including the effects of dust

  4. Cosmology with SN Ia as distance indicators


  1. Probabilistic (Bayesian) Inference with hierarchical / multi-level statistical models

  2. Computational algorithms for statistical inference (BayeSN)

  3. Model checking, comparison, and selection

  4. Nonparametric modeling

  5. Statistical models, computation and inference for stochastic phenomena

Ph.D. Astronomy, Harvard University, 2011


kmandel AT ast DOT cam DOT ac DOT uk

Ph.D. Thesis

Type Ia Supernova Inference: Hierarchical Bayesian Models in the Optical and Near Infrared. Defended May 2011, Harvard University.

Winner of the ISBA Savage Award

for Outstanding Doctoral Dissertation in Applied Statistical Methodology


Selected Publications (full list on ADS)


Patel, E., Besla, G., Mandel, K. & Sohn, S.T. 2018.

Estimating the Mass of the Milky Way Using the Ensemble of Classical Satellite Galaxies.

The Astrophysical Journal, 857, 78. [ads]


Mandel, K. Scolnic, D., Shariff, H., Foley, R., Kirshner, R.P. 2017.

The Type Ia Supernova Color-Magnitude Relation and Host Galaxy Dust: A Simple Hierarchical Bayesian Model. The Astrophysical Journal, 842, 93. [ads][arXiv]


Czekala, I., Mandel, K., Andrews, S., Dittman, J., Ghosh, S., Montet, B., Newton, E. 2017.

Disentangling Time Series Spectra with Gaussian Processes: Applications to Radial Velocity Analysis.

The Astrophysical Journal, 840, 49. [ads][arxiv]


Patel, E., Besla, G. & Mandel, K. 2017.

Orbits of Massive Satellite Galaxies II: Bayesian Estimates of the Milky Way and Andromeda Masses using high-precision astrometry and cosmological simulations.

Monthly Notices of the Royal Astronomical Society, 468, 3428. [ads][arxiv]


Tak, Hyungsuk, Mandel, K., van Dyk, D., Kashyap, V., Meng, Xiao-Li, Siemiginowska, A. 2016.

Bayesian Estimates of Astronomical Time Delays between Gravitationally Lensed Stochastic Light Curves. The Annals of Applied Statistics, accepted & in press. [ads][arXiv]


Czekala, I., Andrews, S., Mandel, K., Hogg, D., Green, G. 2015.

Constructing a Flexible Likelihood Function for Spectroscopic Inference.

The Astrophysical Journal, 812, 128. [ads]


Mandel, K., Foley, R.J. & Kirshner, R.P. 2014.

Type Ia Supernova Colors and Ejecta Velocities: Hierarchical Bayesian Regression with Non-Gaussian Distributions. The Astrophysical Journal, 797, 75. [ads][arXiv][AAS abstract]


Foley, R.J. & Mandel, K. 2013.

Classifying Supernovae using only galaxy data.

The Astrophysical Journal, 778, 167 [ads][arXiv]


Foster, J., Mandel, K., Pineda, J., Covey, K., Arce, H., Goodman, A. 2013.

Evidence for grain growth in molecular clouds: A Bayesian examination of the extinction law in Perseus.

Monthly Notices of the Royal Astronomical Society, 428, 1606 [ads][arXiv]


Mandel, K., Narayan, G., & Kirshner, R.P. 2011.

Type Ia Supernova Light Curve Inference: Hierarchical Models in the Optical and Near Infrared.

The Astrophysical Journal, 731, 120 [ads][arXiv]


Blondin, S., Mandel, K., & Kirshner, R.P. 2011.

Do spectra improve distance measurements of Type Ia supernovae?

Astronomy & Astrophysics, 526: A81 [ads][arXiv]


Mandel, K., Wood-Vasey, W.M., Friedman, A., & Kirshner, R.P. 2009.

Type Ia Supernova Light Curve Inference: Hierarchical Bayesian Analysis in the Near Infrared.

The Astrophysical Journal, 704: 629-651. [ads]


Mandel, K. and Zaldarriaga, M. 2006.

Weak Gravitational Lensing of High-Redshift 21 cm Power Spectra.

The Astrophysical Journal, 647: 719-736. [ads]


Mandel, K. and Agol, E. 2002.

Analytic Light Curves for Planetary Transit Searches.

The Astrophysical Journal, 580: L171-L175. [ads]