David Balding
David Balding FAA is Professor of Statistical Genetics at the University of Melbourne, and Director of Melbourne Integrative Genomics (MIG[1]), having previously been the founding senior appointment at the UCL Genetics Institute in London.[2] He was educated at the University of Newcastle, Australia, and the University of Oxford, UK, and is editor of the Handbook of Statistical Genetics.[3]
Balding is best known for the , widely used around the world to evaluate weight of evidence for DNA profile evidence allowing for shared ancestry between the alleged and alternative contributors.[4][5][6] His is also known for the Balding-Nichols model of allele frequencies in structured populations and as one of the founders of the Approximate Bayesian Computation method of statistical inference.
As Director of MIG, he leads a team developing statistical and computational methods for the analysis of genomics data - with applications in medicine, biology, agriculture and forensics.
Balding was elected Fellow of the Australian Academy of Science in 2019.[7]
See also[]
External links[]
References[]
- ^ "MIG Home". Melbourne Integrative Genomics (@MelbIntGen). 2017-12-19. Retrieved 2018-07-09.
- ^ "United Kingdom". www.ucl.ac.uk. Retrieved 2018-07-09.
- ^ "Handbook of Statistical Genetics, 4th Edition". Wiley.com. 2019-09-01. Retrieved 2019-10-08.
- ^ Balding, David J.; Steele, Christopher D. (2015-06-24). Weight-of-Evidence for Forensic DNA Profiles. doi:10.1002/9781118814512. ISBN 9781118814512.
- ^ ""The Evaluation of Forensic DNA Evidence", National Academies Press".
- ^ "REPORT TO THE PRESIDENT Forensic Science in Criminal Courts: Ensuring Scientific Validity of feature-Comparison Methods Executive Office of the President President's Council of Advisors on Science and Technology" (PDF).
- ^ David Balding, https://www.science.org.au/fellowship/fellows/professor-david-balding
- Living people
- Australian statisticians
- Population geneticists
- Australian expatriates in the United Kingdom
- Academics of Imperial College London
- 21st-century British mathematicians
- Genetic epidemiologists
- Statistical geneticists
- Academics of University College London
- Academics of the University of Reading
- Fellows of the Australian Academy of Science