Allen Tu

I am a second-year Computer Science Ph.D. student at the University of Maryland, College Park, advised by Professors Tom Goldstein and Matthias Zwicker. My research focuses on efficient and reliable 3D/4D reconstruction and generation, including compression methods for Gaussian Splatting and diffusion-based priors that enable reconstruction from sparse or degraded imagery. I also worked on multimodal biometric recognition under severe operating conditions. I am currently an Applied Science Intern at Amazon, researching 3D digital twins, world models, and agentic pipelines for physical AI simulation.

My research is supported through the IARPA WRIVA and BRIAR programs and shaped by collaborations across academia and industry, including prior internships at Systems & Technology Research (STR) and my current role at Amazon. I co-organized the inaugural SPAR-3D Workshop at CVPR 2026 on security and adversarial robustness in 3D generative vision models, and previously mentored undergraduate researchers in the FIRE: Capital One Machine Learning program. I received my B.S./M.S. in Computer Science from UMD in 2024.