Hsiao-yu Tung is a research engineer with a decade of experience advancing 3D perception, common-sense learning, and embodied scene understanding, currently working on multimodal LLMs at Google DeepMind. She holds a PhD from CMU Machine Learning Department and has postdoctoral experience at MIT CoCosci and Stanford NeuroAILab, with internships at OpenAI, Google Brain, and Adobe shaping a strong industry-research track record. Her work spans self-supervised 3D perception, physics simulation, and robotics, exploring how agents acquire and refine 3D and commonsense knowledge through interaction with the physical world. Recognized as a 2021 Siebel Scholar and a 2019 Rising Star in EECS, her research has been supported by competitive fellowships including Yahoo InMind and Siemens FutureMaker. Based in Mountain View, she blends deep academic rigor with hands-on product-facing experience in autonomy and multimodal systems, and often bridges simulation-driven insights with real-world deployment.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical Engineering Technologies/Technicians, Bachelor's degree, Electrical Engineering Technologies/Technicians at National Taiwan University
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Carnegie Mellon University
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Hsiao-yu Tung - Research Engineer at Google DeepMind