My research involves the topics of prescriptive analytics and operations research, in particular analytics, optimisation, and mathematical programming, applied to supply chain management and production planning.
The main focus of my research is the development of decision support frameworks based on optimisation under uncertainty that can be used for improving decision making in real-world problems.
My research interests are methodological developments and applications of mathematical programming to real-world problems in the areas of renewable energy production, healthcare and humanitarian logistics.
PhD in Production Engineering, 2012
BSc in Production Engineering, 2008
Current topics and research group
Applications of optimisation under uncertainty techniques to represent the evolution of energy systems and devise policy and decision making support to foster the adoption of low-carbon energy production. Some problems include:
Combining traditional inventory control theory with the flexibility of stochastic programming we are able to address more general settings. Some ideas we have been exploring:
Investigating how we can use operations research to ultimately save lives. Challenges include: