Using global mechanistic crop modeling, I address questions related to climate change impacts on agricultural systems, the role of extreme weather events, end-of-season yield forecasting systems, developing pathways for attaining the SDGs, and how to feed 10 billion people within environmental limits. A recent project advanced the understanding of implications of a regional nuclear conflict for global food productivity, trade, and availability. Ongoing projects include: i) CMIP6 multi-crop model impact projections, focusing on extreme events and agricultural adaptation potentials; ii) water management and irrigation system transitions; iii) crop productivity effects of atmospheric geoengineering; iv) food system shocks, among others.
In close collaboration with the international crop modeling community, my research activity utilizes and advances an assessment framework based on an ensemble of integrated global crop modeling systems. Leveraging large-scale computational infrastructure, remote sensing, novel historical and future climate datasets, and other data assimilation, we work towards an operational yet flexible framework to improve the understanding of food system vulnerabilities and adaptation capacities targeting more sustainable future food systems.