I am a scientist working in prescriptive analytics at Monash University. I specialise in developing state-of-the-art optimisation technologies and applying them to solve problems in the transportation and energy sectors.
I design decision-making algorithms that intelligently examine thousands to millions of scenarios to recommend the best course-of-action that adheres to operational limitations, such as monetary, time, safety and legal constraints. The algorithms are evaluated on difficult decision-making tasks in the transportation and energy sectors, including vehicle routing and scheduling problems, rostering problems and smart electrical grid planning problems.
Formally, my research is in optimisation and spans linear, convex, non-convex and combinatorial optimisation. My main research interest is optimisation solver systems. In particular, I study hybridisations of mixed integer programming, constraint programming and Boolean satisfiability.