PhD Candidate
Zhiwan Cheung is a practice-based artist and PhD candidate in Computational Media and Arts at Hong Kong University of Science and Technology (Guangzhou). His research investigates AI as a creative collaborator, with attention to how machine learning systems shape representation and memory. Working across video and multi-media installation, he develops AI-driven workflows that treat generative models as co-authors within the studio.
His current projects explore predictive drift in image-to-video systems, the politics of training data, and digital reconstruction using Gaussian splatting and neural radiance fields. Across these methods, he studies how computational systems translate lived environments into synthetic images, and how traces of personal and cultural history persist through technical infrastructures.
He received his BFA from Cornell University and his MFA from Carnegie Mellon University. He has exhibited work nationally and internationally in venues such as NURTUREart Gallery in New York, Pica Pica Gallery in Berlin, and The Andy Warhol Museum in Pittsburgh. Zhiwan also received a Fulbright grant to research the Fluxus art group in Berlin, Germany. His work connects artistic practice with critical AI research, foregrounding questions on authorship, embodiment, and the cultural implications of generative systems.