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Research
Research Statement
My research focuses on developing efficient hardware architectures for artificial intelligence. I work at the intersection of computer architecture, circuit design, and machine learning to build systems that can accelerate AI workloads while minimizing energy consumption.
Specific areas include:
Content-Addressable Memory (CAM) Architectures: Designing CAM-based accelerators for applications in genomics, machine learning, and data-intensive computing. In-Memory Computing: Developing architectures that perform computation within memory arrays to eliminate data movement bottlenecks. Neuromorphic Hardware: Building circuits inspired by biological neural systems for efficient, event-driven computation.
Collaborators
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