My research focuses on the impacts of climate change on agriculture and the development of adaptation and mitigation strategies, with a particular emphasis on greenhouse gas (GHG) emissions, crop productivity, plant functional traits, and soil nitrogen cycling. I utilize diverse data sources, including field experiments, meta-analyses, and long-term monitoring datasets. Methodologically, my work integrates multiple analytical approaches such as machine learning, process-based modelling, and linear mixed models to uncover patterns and develop predictive tools for sustainable agricultural systems.
