Sam joined Burnet at the end of 2016 after completing undergraduate studies in statistics and computer science. Since then he has worked primarily in the development of the Optima Nutrition model. His current research interests include machine learning, statistical methods, optimisation and decision science.
Prior to joining Burnet, he was awarded a summer research scholarship at Monash University to investigate topics in percolation theory. During this time he also undertook an internship at the Murdoch Children’s Research Institute, performing statistical analysis of gait data.
- 2016: BSc in Statistics, Monash University, Australia
- 2012: BA (Hons) in Literature, University of Melbourne, Australia
- 2016: Summer Research Scholarship recipient, Monash University
- 2014 and 2015: Dean’s Fellow Award, Monash University
- 2010: Member of Golden Key International Honours Society
- Optima decision science
Research and applications across disease areas to improve allocative efficiency.
- Optima Nutrition
A quantitative tool to assist with the allocation of intervention budgets to minimise stunting in children.
- Hepatitis C virus notification rates in Australia are highest in socioeconomically disadvantaged areas.
Hainsworth SW, Dietze PM, Wilson DP, Sutton B, Hellard ME, Scott N
PLoS One. 2018 Jun; 13(6):e0198336
- Heterogeneity in hepatitis C treatment prescribing and uptake in Australia: a geospatial analysis of a year of unrestricted treatment access.
Scott N, Hainsworth SW, Sacks-Davis R, Pedrana A, Doyle J, Wade A, Hellard M
J Virus Erad. 2018 Apr; 4(2):108-114