Jason Yik

About

Jason Yik is a graduate fellow studying computing systems and architecture. He completed a B.S. degree in computer engineering at USC and is now pursuing a Ph.D. in SEAS under advisor Vijay Janapa Reddi.

Research Focus

Yik’s research focus is in neuromorphic computing, which encompasses a class of brain-inspired hardware and software co-designed AI systems. Though machine learning continues to demonstrate impressive capabilities in AI, the brain is still far ahead of any existing system in its energy efficiency of intelligent computing. Neuromorphic computing systems incorporate mechanical features of biology, such as neuron dynamics, sparsity, and parallelism; designing machines that approach the efficiency and performance of biological systems by looking more like biological systems. Yik’s prior work includes designing benchmark frameworks and tools for neuromorphic research, and optimizing deployed performance by developing and profiling neuromorphic hardware models.