Summary
Weixi Feng is a research scientist focused on generative media and compositional video/image generation, with eight years of experience spanning internships and applied research at NVIDIA, Adobe, Amazon, and now Google DeepMind. Currently completing a PhD in Computer Science at UC Santa Barbara, he blends deep academic training with hands-on industry work on text-to-video pretraining and controllable generation. His trajectory shows a consistent focus on multimodal generative models and scalable pretraining strategies, moving rapidly from internship projects to production-scale efforts at leading AI labs. Based in Mountain View, he brings practical applied-science experience from Amazon AGI and GenAIR research to cutting-edge GenMedia initiatives, and his international education background (UCLA, Hong Kong Polytechnic, Waterloo exchange) reflects a global, interdisciplinary perspective. Notably, he transitions fluidly between research and engineering roles, making him effective at translating novel algorithms into real-world model systems.
8 years of coding experience
Bachelor's degree Electronic and Information Engineering, Bachelor's degree Electronic and Information Engineering at The Hong Kong Polytechnic University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at UC Santa Barbara
University of California, Los Angeles
Exchange Electrical and Computer Engineering, Exchange Electrical and Computer Engineering at University of Waterloo
Chinese, English, Chinese