Zelin Zhao is a Ph.D. candidate in Machine Learning at Georgia Tech with seven years of research and engineering experience building geometry-aware, physics-informed, and world-model-based AI systems that bridge perception, reasoning, and generation. He has multiple first-author papers at ICLR, CVPR, ECCV, NeurIPS, and AAAI—one of which was a CVPR 2024 Best Paper Award Candidate—and has conducted research at Caltech Anima Lab, MIT CSAIL, and SJTU ThinkLab under renowned advisors. Zelin blends academic rigor with product-focused internships, including roles at ByteDance and currently Waymo, where he applies generative and vision models to real-world problems. Based in Menlo Park, he combines deep technical expertise in computer vision and generative modeling with a knack for translating theory into scalable prototypes for AI4Science. An interesting detail: his trajectory includes a visiting stint at MIT and sustained cross-institutional collaborations that accelerate moving ideas from lab to industry.
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