Michelle recently completed her PhD in Applied Mathematics at the University of New South Wales. Michelle has experience in applying mathematical optimisation techniques to real-world airline networks; to assist in the integration of key operational decisions and in providing robust solutions under operational uncertainty. She also has experience in applying non-linear optimisation tools to a variety of medical datasets to allow for improved disease detection and diagnosis; one of these tools has subsequently been taken up by a health care company.
Research areas and expertise
Operations Research and Discrete Optimisation: Linear and Integer Programming
- Airline scheduling, rail scheduling and logistics.
- Optimisation under uncertainty and minimisation of delay propagation between connecting resources.
- Integrated infrastructure planning.
Non-linear Optimisation: Quadratic Programming
- Non-linear optimisation models for Support Vector Machine (SVM) classification and feature selection.
- Application of SVMs to medical datasets to allow for improved disease detection and diagnosis.
- Ph.D.; (Applied Mathematics), 2012, University of New South Wales, Australia.
- Bachelor of Advanced Science (Applied Mathematics), Hons. (Class I), 2008, University of New South Wales, Australia.
- Australian Mathematical Society (AustMS). Australian and New Zealand Industrial and Applied Mathematics (ANZIAM).
- INFROMS, The OR Society