Ding's major interest lies in program optimization, especially from the perspective of input sensitivity, parallelization, and redundant computation elimination. Her research involves various important algorithms, which are commonly used in Machine Learning, Deep Learning, and other High-Performance Applications. Moreover, she and her group are interested in enabling automatic adaption of our optimization, through novel designs in programing language, compiler, and runtime system.