Our Research

Our lab’s expertise spans a broad spectrum of computational and analytical disciplines critical for the advancement of chemical and environmental systems. We demonstrate deep learning proficiency through our work in generative modelling, computer vision, reinforcement learning, large language models, and graph neural networks. In computational design and simulation, our specialty lies in geometric computations, managing design under uncertainty, and analyzing systems construction. A core competency we have is in mathematical optimization and decision analytics, creating solutions that enable informed decision-making. Additionally, we conduct thorough life cycle and impact assessments to determine the environmental and societal effects of new and existing  technologies, products, and processes.