
Google DeepMind
Distinguished Scientist; Gemini Model Design Research Lead
via Google DeepMind
Researcher · Academic
Research Scientist at Google DeepMind
Associate Professor at University of Virginia
Khan designs computer architectures for data-intensive and machine-learning workloads. Her research tackles the “memory wall”—the growing gap between processor speed and access to data—through new memory systems, reliability techniques, and hardware-software co-design intended to make future computing platforms faster and more efficient.
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Google DeepMind
University of Virginia
Carnegie Mellon University
École Polytechnique Fédérale de LausanneWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Last editorial review: August 13, 2026