# Richard Garner

> mathematician from Macquarie University

**Wikidata**: [Q61856956](https://www.wikidata.org/wiki/Q61856956)  
**Source**: https://4ort.xyz/entity/richard-garner-q61856956

## Summary
Richard Garner is a mathematician and computer scientist affiliated with Macquarie University, known for his contributions to computer science. He has worked in academia, advised doctoral students, and served as an editorial board member for academic journals.

## Biography
- Born: [Not specified]
- Nationality: [Not specified]
- Education: Doctoral advisor: Martin Hyland; Doctoral students: Mitchell Buckley, Matthew Burke, Poon Tak Leung, Tobias Columbus
- Known for: Advancing research in computer science and mathematics
- Employer(s): Macquarie University
- Field(s): Computer science

## Contributions
Richard Garner has contributed to the field of computer science through his academic work and mentorship. He has advised several doctoral students, including Mitchell Buckley, Matthew Burke, Poon Tak Leung, and Tobias Columbus. His work has been recognized in academic publications and journals, and he has served on the editorial board of *Mathematical Structures in Computer Science*. His research and guidance have influenced the development of computer science as a discipline.

## FAQs
### Q: What is Richard Garner's primary field of work?
A: Richard Garner is primarily a computer scientist, specializing in the study of computation.

### Q: Where is Richard Garner currently employed?
A: Richard Garner is currently employed at Macquarie University.

### Q: Who are some of Richard Garner's doctoral students?
A: Richard Garner has advised doctoral students including Mitchell Buckley, Matthew Burke, Poon Tak Leung, and Tobias Columbus.

### Q: Has Richard Garner served on any academic editorial boards?
A: Yes, Richard Garner has served on the editorial board of *Mathematical Structures in Computer Science*.

### Q: What is Richard Garner's educational background?
A: Richard Garner was educated at the University of Cambridge and has advised several doctoral students.

## Why They Matter
Richard Garner's work in computer science has had a significant impact on the academic community. His mentorship of doctoral students and contributions to academic journals have helped shape the field of computer science. His research and guidance have influenced the development of computational theories and practices, making him a notable figure in the industry.

## Notable For
- Served on the editorial board of *Mathematical Structures in Computer Science*
- Advised multiple doctoral students, including Mitchell Buckley and Matthew Burke
- Affiliated with Macquarie University and the University of Cambridge
- Contributed to the advancement of computer science through academic publications

## Body
### Academic Background
Richard Garner holds a doctorate from the University of Cambridge, where he was advised by Martin Hyland. His academic career has been marked by mentorship, having supervised several doctoral students, including Mitchell Buckley, Matthew Burke, Poon Tak Leung, and Tobias Columbus.

### Professional Affiliations
Richard Garner is currently employed at Macquarie University, where he continues to contribute to the field of computer science. His work has been recognized in academic publications and journals, and he has served on the editorial board of *Mathematical Structures in Computer Science*.

### Research and Mentorship
Richard Garner's research focuses on computer science, and his mentorship of doctoral students has had a lasting impact on the academic community. His contributions to the field have helped advance computational theories and practices, making him a respected figure in the industry.

## References

1. Mathematics Genealogy Project
2. [Source](https://www.cambridge.org/core/journals/mathematical-structures-in-computer-science/information/editorial-board)
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-4475-8721/researcher-urls/1130071)
4. [SciGraph](https://scigraph.springernature.com/person.015735767111.37)