Anna Scaife
Radio astronomer
Facts
16 properties- Instance of
- human
- Date of birth
- May 20, 1981
- Country of citizenship
- United Kingdom[3]
- Occupation
- astrophysicist
- Employer
- University of Manchester[5]
- Field of work
- radio astronomy[4]
- Award received
- Jackson-Gwilt Medal[10]
- Official website
- research.manchester.ac.uk[14]
- Doctoral advisor
- Keith Grainge[9]
- Imported from
- wholeness_audit_2026-05-02
- Social media followers
- 1,620, 1,535
🏷️ Also known as
en Anna Margaret Mahala Scaife
en Anna Scaife
🔖 Identifiers · 11
- ORCID iD
- 0000-0002-5364-2301
- OpenAlex ID
- A5070996157, A5135946503as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Image (Wikimedia Commons)
- Anna Scaife for World Economic Forum.jpg ↗
- ACM Digital Library author ID
- 99661442269
- DBLP author ID
- 280/0148
- Google Knowledge Graph ID
- /g/11h32ybxw0
- Google Scholar author ID
- 2BeLFVwAAAAJ
- INSPIRE-HEP author ID
- A.Scaife.1
- Scopus author ID
- 6603887796
- UK Parliament thesaurus ID
- 525075
- X (Twitter) username
- radastrat (2015–present)
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
Attention-gating for improved radio galaxy classification,
Fanaroff–Riley classification of radio galaxies using group-equivariant convolutional neural networks,
MiraBest: a data set of morphologically classified radio galaxies for machine learning,
OUP accepted manuscript,
Quantifying uncertainty in deep learning approaches to radio galaxy classification,
Radio Galaxy Zoo: Giant Radio Galaxy Classification using Multi-Domain Deep Learning,
Radio galaxy zoo: towards building the first multipurpose foundation model for radio astronomy with self-supervised learning,
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift
+3 more
← Authored by 11
Attention-gating for improved radio galaxy classification,
Fanaroff–Riley classification of radio galaxies using group-equivariant convolutional neural networks,
MiraBest: a data set of morphologically classified radio galaxies for machine learning,
OUP accepted manuscript,
Quantifying uncertainty in deep learning approaches to radio galaxy classification,
Radio Galaxy Zoo: Giant Radio Galaxy Classification using Multi-Domain Deep Learning,
Radio galaxy zoo: towards building the first multipurpose foundation model for radio astronomy with self-supervised learning,
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift
+3 more
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Summary
Anna Scaife was born on May 20, 1981[1]. She worked as an astrophysicist[2].
Body
Education
Educated at University of Bristol[6], a public university[16], in United Kingdom[17], founded in 1909[18], headquartered in Bristol[19]; University of Cambridge[7], a collegiate university[20], in United Kingdom[21], founded in 1209[22], headquartered in Cambridge[23]; and Loreto Grammar School[8], a grammar school[24], in United Kingdom[25], founded in 1909[26].
FAQs
What did Anna Scaife do for work?
Anna Scaife worked as astrophysicist[2].
Where did Anna Scaife go to school?
Anna Scaife was educated at University of Bristol[6], University of Cambridge[7], and Loreto Grammar School[8].
What awards did Anna Scaife receive?
Honors received include Jackson-Gwilt Medal[10].