Xinquan Huang

Xinquan Huang is currently working with Prof. Paris Perdikaris and Prof. Nat Trask on generative models in science and engineering. His research interests span the areas of physics-informed machine learning, operator learning, generative modeling using diffusion models and their applications to fluid simulation, uncertainty quantification, and inverse problems. He completed his Ph.D. at King Abdullah University of Science and Technology and has interned at Microsoft Research AI4Science.