Dee works in research areas that bring together computational stochastic/non-stochastic mechanics, machine learning, and engineering design with implementation of new composite materials. Dee has also developed frameworks for machine-learning-aided engineering safety assessment, nondeterministic methods for isogeometric analysis with polymorphic uncertainties, as well as approaches for designing composite material via AI techniques.