Energy Transition, Climate Action
Observation & Operations
Andrew Parnell is Hamilton Professor in the Hamilton Institute at Maynooth University. His research is in statistics and machine learning for large structured data sets in a variety of application areas. He has co-authored over 75 peer-reviewed papers in journals such as Science, Nature Communications, and Proceedings of the National Academy of Sciences, and has methodological publications in journals such as Statistics and Computing, Knowledge-Based Systems, The Annals of Applied Statistics, and Journal of the Royal Statistical Society: Series C. He has been awarded over €3 million to date in direct funding as PI or Co-PI, and has been involved in grants totalling over €65 million as PI/collaborator. He has been heavily involved in the commercialisation of research through the start-up companies Prolego Scientific (CSO) and Atturos (Scientific Advisor). He is currently a principal investigator in the SFI I-Form Advanced Manufacturing Centre, and a funded investigator in the SFI Insight Centre for Data Analytics. He is an expert reviewer for the Intergovernmental Panel on Climate Change.
Andrew is a Principle Investigator on the industry project Nature+Energy.
• Nature + Energy: Machine learning for quantification of wind farm re-wilding
• Terrain-AI: Bayesian Inverse modelling of the biosphere
• InnoVar: Probabilistic Machine Learning for developing high-performance low-cost wheat varieties
• A4: Quantification of rates and accelerations of sea level rise around the Irish coast