Our research interests mainly revolve around sustainable agriculture, aiming to increase food production without harming the environment. As the global population grows, food production must increase by 70% to meet future demands. However, this increase in food production should not come at the expense of vital ecosystems, such as forests, or lead to resource depletion and environmental pollution. Sustainable agriculture offers a solution to this complex challenge. Attaining sustainable agriculture requires a multifaceted approach and integrates contributions from various fields such as plant genetics, environmental sciences, technological innovations, economics, and social sciences.

Another relatively new line of research utilizes machine learning algorithms to virtually screen natural products or de novo design molecules that hold promise as potential therapeutics against both human and plant pathogens.