I am a Senior Energy Systems Researcher at the UCD Energy Institute, University College Dublin, specializing in AI-driven building energy modelling, digital twins, and sustainable building performance. My PhD research focused on balancing energy efficiency, indoor environmental quality (IEQ), and occupant well-being in residential buildings, leveraging probabilistic approaches to enhance energy-use predictions. At the intersection of AI, energy efficiency, and climate resilience, I develop scalable digital frameworks for urban-scale building stock analysis, performance optimisation, and decarbonisation strategies. My work aims to accelerate the transition to low-carbon, climate-resilient buildings by integrating machine learning, knowledge graphs, and digital twins for predictive energy modelling. Current Research: - Digital Twin Model for the Irish Residential Building Stock – Enabling real-time performance analysis, predictive modelling, and policy-driven energy efficiency strategies. - Brain4Buildings (B4B) – AI-powered framework for automated building energy modelling and optimization. - Knowledge Graph-based Urban Energy Modeling – Enhancing data integration for multi-scale energy analysis. By integrating AI-driven insights with data-driven policy recommendations, I contribute to standardisation efforts and cross-disciplinary collaborations that support global climate action and energy transition goals.