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Kaisey Mandel is a Research Professor at the Institute of Astronomy, University of Cambridge, in Astrostatistics and Data Science. He holds an interdisciplinary faculty position jointly with the Statistical Laboratory of the Department of Pure Mathematics and Mathematical Statistics. His research group focuses on problems at the intersection of astrophysics, cosmology, statistics, and machine learning, including Supernova cosmology, Astrostatistics, astronomical machine learning, and astroinformatics. Mandel is also involved in the Young Supernova Experiment, which utilizes Pan-STARRS telescopes for time-domain surveys. His work includes Bayesian modeling and statistical computation, simulation-based inference and he has published extensively on these topics. He has received numerous awards and recognitions for his contributions to the field, including the European Research Council Consolidator Grant. Throughout his academic career, he has been a leader in advocating for advanced statistical methods in astronomical research and has co-organized discussions and seminars focused on Astro Data Science.
Institute of Astronomy, University of Cambridge • Cambridge, ENG, GB
Research in Astrostatistics and interdisciplinary applications within astrophysics.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.