Heather Battey
Heather Battey is a British statistician whose interests include population-level sparsity and the theoretical foundations of inference in the presence of a large number of nuisance parameters.[1][2] She is a reader in mathematics at Imperial College London.[1]
Education and career[edit]
Battey completed a PhD at the University of Cambridge in 2011. After postdoctoral research as a Brunel Fellow in Statistics at the University of Bristol and as a research fellow at Princeton University, she joined Imperial College London as a lecturer in 2016, since becoming a reader there.[1]
Recognition[edit]
Battey was named as a Fellow of the Institute of Mathematical Statistics in 2023, "for contributions to statistical theory and applied probability, in particular for work on new approaches to well-calibrated high-dimensional and conditional inference, and for work on development of the theoretical foundations of statistical inference".[3]
References[edit]
- ^ a b c Heather Battey, Imperial College, retrieved 2023-09-22
- ^ EPSRC Mathematical Sciences Fellowship, EPSRC, retrieved 2023-10-21
- ^ 2023 IMS Fellows Announced, Institute of Mathematical Statistics, retrieved 2023-09-22
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