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Biography

I am a reader in statistics and data science at the School of Mathematics, University of Edinburgh. I completed my PhD with Prof Richard Samworth in the Statistical Laboratory at the University of Cambridge in 2015. I then worked with Prof Yingying Fan as a Postdoc at the University of Southern California.

Activities

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Employment (4)

University of Edinburgh: Edinburgh, GB

2022-08-01 to present | Reader in Statistics and Data Science (School of Mathematics)
Employment
Source: Self-asserted source
Timothy I Cannings

The University of Edinburgh: Edinburgh, Edinburgh, GB

2018-08-01 to 2022-07-31 | Lecturer in Statistics (School of Mathematics)
Employment
Source: Self-asserted source
Timothy I Cannings

University of Southern California: Los Angeles, CA, US

2017-01-25 to 2018-08-25 | Postdoc (Marhsall School of Business)
Employment
Source: Self-asserted source
Timothy I Cannings

University of Cambridge: Cambridge, Cambridgeshire, GB

2015-08-01 to 2017-01-25 | Postdoc (Statistical Laboratory)
Employment
Source: Self-asserted source
Timothy I Cannings

Education and qualifications (1)

University of Cambridge: Cambridge, Cambridgeshire, GB

2011-10-01 to 2015-09-15 | PhD (Statisitcal Laboratory)
Qualification
Source: Self-asserted source
Timothy I Cannings

Professional activities (1)

Royal Statistical Society: London, GB

Membership
Source: Self-asserted source
Timothy I Cannings

Funding (1)

New challenges in robust statistical learning

2021-05 to 2024-05 | Grant
Engineering and Physical Sciences Research Council (London, GB)
URL: https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/V002694/1
GRANT_NUMBER: EP/V002694/1
Source: Self-asserted source
Timothy I Cannings

Works (16)

Random-projection ensemble dimension reduction

2024 | Preprint
DOI: 10.48550/ARXIV.2410.04922
Contributors: Wenxing Zhou; Timothy I. Cannings
Source: Self-asserted source
Timothy I Cannings

Dissecting the genetic and proteomic risk factors for delirium

2024-10-12 | Preprint
DOI: 10.1101/2024.10.11.24315324
Contributors: Vasilis Raptis; Youngjune Bhak; Timothy I Cannings; Alasdair M. J. MacLullich; Albert Tenesa
Source: Self-asserted source
Timothy I Cannings

Isotonic subgroup selection

Journal of the Royal Statistical Society, Series B
2024-07-15 | Journal article
DOI: 10.48550/ARXIV.2305.04852
DOI: https://doi.org/10.1093/jrsssb/qkae083
Contributors: Manuel M. Müller; Henry W. J. Reeve; Timothy I. Cannings; Richard J. Samworth
Source: Self-asserted source
Timothy I Cannings

Nonparametric classification with missing data

Annals of Statistics
2024-04-23 | Journal article
DOI: 10.48550/ARXIV.2305.11672
Contributors: Torben Sell; Thomas B. Berrett; Timothy I. Cannings
Source: Self-asserted source
Timothy I Cannings

Integration of datasets for individual prediction of DNA methylation-based biomarkers

Genome Biology
2023-12-05 | Journal article
DOI: 10.1186/s13059-023-03114-5
Part of ISSN: 1474-760X
Contributors: Charlotte Merzbacher; Barry Ryan; Thibaut Goldsborough; Robert F. Hillary; Archie Campbell; Lee Murphy; Andrew M. McIntosh; David Liewald; Sarah E. Harris; Allan F. McRae et al.
Source: Self-asserted source
Timothy I Cannings

Optimal subgroup selection

Annals of Statistics
2023-12-01 | Journal article
DOI: 10.1214/23-AOS2328
ARXIV: 2109.01077
Contributors: Henry W J Reeve; Timothy I Cannings; Richard J. Samworth
Source: Self-asserted source
Timothy I Cannings

Development and validation of DNA methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes

Nature Aging
2023-04-06 | Journal article | Author
DOI: 10.1038/s43587-023-00391-4
Part of ISSN: 2662-8465
Contributors: Yipeng Cheng; Danni Gadd; Christian Gieger; Karla Monterrubio Gomez; Yufei Zhang; Imrich Berta; Michael J. Stam; Natalia Szlachetka; Evgenii Lobzaev; Nicola Wrobel et al.
Source: Self-asserted source
Timothy I Cannings

Data-driven design of targeted gene panels for estimating immunotherapy biomarkers

Communications Biology
2022-01-30 | Journal article
DOI: 10.1038/s42003-022-03098-1
ARXIV: arXiv:2102.04296v2
Source: Self-asserted source
Timothy I Cannings
grade
Preferred source (of 2)‎

The correlation-assisted missing data estimator

Journal of Machine Learning Research
2022-01-13 | Journal article
ARXIV: arXiv:1911.01859v2
Part of ISSN: ISSN 1533-7928
Source: Self-asserted source
Timothy I Cannings

Adaptive transfer learning

Annals of Statistics
2021-12-14 | Journal article
DOI: 10.1214/21-AOS2102
ARXIV: arXiv:2106.04455v1
Source: Self-asserted source
Timothy I Cannings

Development and validation of DNA Methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes

2021-11-21 | Preprint | Author
DOI: 10.1101/2021.11.19.21266469
Contributors: Yipeng Cheng; Danni Gadd; Christian Gieger; Karla Monterrubio Gomez; Yufei Zhang; Imrich Berta; Michael Stam; Natalia Szlachetka; Evgenii Lobzaev; Nicola Wrobel et al.
Source: Self-asserted source
Timothy I Cannings

Data-driven design of targeted gene panels for estimating immunotherapy biomarkers

2021-03-17 | Preprint
DOI: 10.21203/rs.3.rs-223265/v1
Contributors: Jacob Bradley; Timothy Cannings
Source: check_circle
Crossref

Local nearest neighbour classification with applications to semi-supervised learning

Annals of Statistics
2020-07-17 | Journal article
DOI: doi:10.1214/19-AOS1868
Source: Self-asserted source
Timothy I Cannings

Classification with imperfect training labels

Biometrika
2020-04-22 | Journal article
DOI: https://doi.org/10.1093/biomet/asaa011
Source: Self-asserted source
Timothy I Cannings

Random projections: Data perturbation for classification problems

WIREs Computational Statistics
2020-02-05 | Journal article
DOI: 10.1002/wics.1499
Part of ISSN: 1939-5108
Part of ISSN: 1939-0068
Source: Self-asserted source
Timothy I Cannings
grade
Preferred source (of 2)‎

Random-projection ensemble classification

Journal of the Royal Statistical Society: Series B (Statistical Methodology)
2017-09 | Journal article
DOI: 10.1111/rssb.12228
Part of ISSN: 1369-7412
Source: Self-asserted source
Timothy I Cannings

Peer review (2 reviews for 2 publications/grants)

Review activity for Advances in data analysis and classification. (1)
Review activity for Machine learning. (1)
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