Thank you to all who applied for the second round of the 2018 Sydney Informatics Hub Publication Incentive!
Congratulations to the first prize winner:
Evelyn’s thesis focusses on population genetics in Thoroughbred horses. This research involves analysis of pedigree and genetic data from Thoroughbred horses to understand trends in the population over time. Ultimately, the findings of Evelyn’s research assists in reducing the frequency of disease alleles and optimising long term breeding strategies.
The figure below is from Evelyn’s winning paper. The regression coefficients show the relationship between measures of racing performance and inbreeding levels in Thoroughbred horses.
We also congratulate the two runners-up:
David Tuckett et al. Ultrahigh Error Threshold for Surface Codes with Biased Noise
David is a PhD candidate in Quantum Information Theory under the supervision of Prof. Stephen Bartlett in the School of Physics. His research focuses on quantum error correction (QEC) with the aim of advancing the field of quantum information and accelerating the realisation of large-scale quantum computation.
Quantum information needs to be protected from noise with QEC codes, such as the popular surface code. The figure shown below, from his paper, shows that a significant increase in error threshold (i.e. tolerable physical error rate) is achievable with a modified surface code when the noise is biased (i.e. dephasing noise dominants) as is the case in many quantum computing architectures.
Dr Richard Bagnall is a Senior Research Officer and Centenary Institute Future Leaders Fellow. He leads the Human Genetics and Bioinformatics Team of the Molecular Cardiology Program, Centenary Institute. His research focuses on using molecular biology methods and bioinformatics approaches to investigate the causes of inherited heart disease and sudden cardiac death.
The image below is from Richard’s winning paper. The figure describes the experimental design and the genetic variants that his group identified through whole genome sequencing.