Summary
Zeyu Zhang is an interdisciplinary AI researcher and creator based in Canberra with four years of experience building generative and spatial intelligence systems across academia and industry. He has contributed to 3D and long-video generation, text-guided human motion and avatar creation, and explainable 3D medical imaging through research roles at institutions including Peking University, MIT CSAIL, Zhejiang University, and Flinders Health and Medical Research Institute. Zeyu combines hands-on internships at industry labs (DAMO Academy, GigaAI) with leadership as Technical Lead at AI Geeks, coordinating researchers and PhD students on cross-disciplinary AI projects. His work frequently bridges physical and digital domains—projects range from physically compatible 3D generation to cryo-ET unsupervised learning—highlighting a talent for translating complex theory into practical models. Comfortable in global research environments (visiting positions at Imperial, UCL, Shanghai Jiao Tong), he holds an advanced BS in Mathematics and Computer Science from ANU and often collaborates with leading professors across continents. Colleagues describe him as a designer-minded engineer who focuses on interpretable, application-driven generative AI rather than pure benchmarking.
4 years of coding experience
2 years of employment as a software developer
Australian National University
Visiting Student, Visiting Student at Shanghai Jiao Tong University
Visiting Student, Visiting Student at Imperial College London
University College London