Published research in top-tier international journals and conferences such as Nature Communications, Advanced Materials Technologies, NeurIPS, and IEDM.
Research Experience
Leads the AI Processor Design (AI-Pro) team, conducting extensive research in areas ranging from semiconductor physics, circuit design to technology/algorithm co-optimization.
Background
Chair of AI Processor Design, dedicated to reimagining the future of AI processors by exploring novel computer architectures that transcend traditional computing and the von Neumann paradigm. The research aims at drastically reducing the carbon footprint of AI, promoting a more sustainable and eco-friendly future for AI.