Age, Biography and Wiki
Peter Donnelly was born on 15 May, 1959 in Australia, is a Statistical geneticist. Discover Peter Donnelly's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 64 years old?
| Popular As |
N/A |
| Occupation |
N/A |
| Age |
64 years old |
| Zodiac Sign |
Taurus |
| Born |
15 May 1959 |
| Birthday |
15 May |
| Birthplace |
Australia |
| Nationality |
Australia
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We recommend you to check the complete list of Famous People born on 15 May.
He is a member of famous with the age 64 years old group.
Peter Donnelly Height, Weight & Measurements
At 64 years old, Peter Donnelly height not available right now. We will update Peter Donnelly's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
| Physical Status |
| Height |
Not Available |
| Weight |
Not Available |
| Body Measurements |
Not Available |
| Eye Color |
Not Available |
| Hair Color |
Not Available |
Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
| Family |
| Parents |
Not Available |
| Wife |
Not Available |
| Sibling |
Not Available |
| Children |
Not Available |
Peter Donnelly Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Peter Donnelly worth at the age of 64 years old? Peter Donnelly’s income source is mostly from being a successful . He is from Australia. We have estimated Peter Donnelly's net worth, money, salary, income, and assets.
| Net Worth in 2024 |
$1 Million - $5 Million |
| Salary in 2024 |
Under Review |
| Net Worth in 2023 |
Pending |
| Salary in 2023 |
Under Review |
| House |
Not Available |
| Cars |
Not Available |
| Source of Income |
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Peter Donnelly Social Network
Timeline
Sir Peter James Donnelly (born 15 May 1959) is an Australian-British mathematician and Professor of Statistical Science at the University of Oxford, and the CEO of Genomics PLC.
He is a specialist in applied probability and has made contributions to coalescent theory.
His research group at Oxford has an international reputation for the development of statistical methodology to analyze genetic data.
Peter James Donnelly was born and raised in Brisbane, Queensland, the son of financial adviser, economic theorist and author Austin Donnelly and Sheila Donnelly.
He is the brother of Sharon Donnelly and of eminent Australian financier, funds manager and company director Melda Donnelly.
He was educated at St. Joseph's Christian Brothers College, Gregory Terrace, and later at the University of Queensland and at Balliol College, Oxford.
When elected to a chair at Queen Mary College, London in 1988 Donnelly was only 29.
He held a chair at the University of Chicago (1994–96) and was head of the Department of Statistics at the University of Oxford from 1996 to 2001.
Donnelly was elected a Fellow of the Royal Society in 2006 and also elected as a Fellow of the Academy of Medical Sciences in 2008.
Other significant awards and honours have included:
From 2007 to 2018, he was Director, Wellcome Trust Centre for Human Genetics (WTCHG) in Oxford.
He is a fellow at St Anne's College, Oxford.
Many leading statistical geneticists worked with Donnelly as young researchers including David Balding, Matthew Stephens and Jonathan Pritchard.
One area in which he has a leading reputation is in the interpretation of DNA evidence.
He has acted as an expert witness on forensic science in criminal trials.
He is noted for his collaborative work with biologists.
He has been heavily involved in a number of large scale projects, such as the International HapMap Project and the Wellcome Trust Case Control Consortium, a genome-wide association study.
In 2015, Donnelly was elected as Chairman of the Royal Society's Machine Learning Working Group.
Donnelly was knighted in the 2019 Birthday Honours for services to the understanding of human genetics in disease.
