As lead application developer, Liam is contributing to the development of applications analytics that use big data and machine learning for asset performance monitoring and process modelling and optimization—primarily in water and wastewater operations.
Liam is also known for his work in energy management, electric demand control, distributed control systems, and water and wastewater automation. He is currently working on the application of big data and machine learning to the optimization of large pumping operations, where goals include the minimization of overall energy usage, operations costs, and greenhouse gas emissions. The approach involves optimized scheduling of pumping activity and power purchases and continuous use of the most efficient combinations of assets to meet operational needs in real time.
Outside of work, Liam and his wife enjoy outdoor activities with their two college-student sons and enjoy vacation travel to their large extended families who live mainly in Ireland and China. Being very interested in global current affairs, he likes to read the Financial Times.