Rebecca Killick
Rebecca Killick is a British statistician whose work concerns non-stationary processes and changepoint detection. They[1] are a professor of statistics at Lancaster University,[2] an affiliate of the centre for health informatics, computing, and statistics in the Lancaster University Medical School,[3] and co-editor-in-chief of the Journal of Statistical Software.[4]
Education and career
[edit]Killick completed a Ph.D. at Lancaster University in 2012, with the dissertation Novel methods for changepoint problems supervised by Idris Eckley.[5]
After a year as a postdoctoral researcher, Killick returned to Lancaster University as a lecturer in mathematics and statistics in 2013, and added an affiliation with the centre for health informatics, computing, and statistics in 2021.[3] They were promoted to full professor in 2022.[6]
Recognition
[edit]Killick was named as 2019 Young Statistician of the Year by the European Network for Business and Industrial Statistics.[7] They were elected to the UK Young Academy in 2023, as part of its inaugural cohort of members.[8]
References
[edit]- ↑ Killick uses they/them/their pronouns; see Lancaster Medical School - CHICAS - Rebecca Killick.
- ↑ "Professor Rebecca Killick", Mathematical Sciences people, Lancaster University, retrieved 2025-07-31
- 1 2 "Rebecca Killick", Medical School people, Lancaster University, retrieved 2025-07-31
- ↑ Journal of Statistical Software, Foundation for Open Access Statistics, retrieved 2025-07-31
- ↑ Rebecca Killick at the Mathematics Genealogy Project
- ↑ "Rebecca Killick becomes a Professor of Statistics", Centre for Marketing Analytics and Forecasting, Lancaster University, 8 August 2022, retrieved 2025-07-31
- ↑ Lancaster statistician first from UK to achieve a prestigious European accolade, Lancaster University, 22 March 2019, retrieved 2025-07-31
- ↑ Lancaster statistician joins first UK-wide 'Young Academy', Lancaster University, 10 January 2023, retrieved 2025-07-31
External links
[edit]- Home page
- Rebecca Killick publications indexed by Google Scholar
