Biography

Shu Ishida is a Senior AI Research Scientist at the Autodesk AI Lab, where he specializes in applying machine learning, multi-modal deep learning models and reinforcement learning to the space of 3D modelling and design. Shu completed his PhD in the Visual Geometry Group at the University of Oxford, where his primary research areas were embodied agents, planning, visual navigation, world modelling, and deep reinforcement learning.

Prior to joining Autodesk Research, Shu has interned as a Research Scientist at Microsoft Research, where he developed transformer-based agents for gameplay, and at Wayve, where he applied Large Language Models for code improvement in autonomous driving. He was also involved in the RoboCup competition team at the Oxford Robotics Institute, and OxAI Labs research.

Shu is passionate about crafting and building things that can create positive impact in the real world, enabling people to be more effective, harmonious, and fulfilled.