Aimée is a recent graduate from the University of Melbourne, where she concurrently studied Applied Mathematics and French. During her university studies, she combined her passions for mathematics and French through research and translation projects in Metropolitan France, New Caledonia and Melbourne and has recently returned from Geneva, Switzerland, where she undertook an internship in data processing and analysis.
In her position on the Modelling and Biostatistics team at Burnet, Aimée has used Covasim to model COVID-19 in Myanmar and is currently working in data analysis for the Optimise study.
- August – October 2020: Senior ESG Analyst Intern, Covalence, Geneva
- May 2016 – November 2019: French Language Assistant, Academy of Mary Immaculate
- 2020: BSc, University of Melbourne, Australia (Major in Mathematics and Statistics)
- 2020: Diploma in Languages (French), University of Melbourne, Australia
- The Optimise Study: Social networks and mixing patterns. (PUBLIC HEALTH REPORT)
Saich F, Heath K, Altermatt A, Munari S, Merner B, Hill S, Lusher D, Radhitio Sadewo G, Wang P, Pedrana A, Gibney K, Hellard M
The Optimise Study. 2021 Apr; Report 5:1-12