Biography

I am currently pursuing a Master’s degree in Electrical Engineering at ETH Zurich, specializing in digital IC architecture design with a strong focus on machine learning applications. Having completed my Bachelor’s degree in Electrical Engineering with a focus on biomedical engineering at Fudan University from 2018 to 2022, where I achieved a top GPA, I have developed a robust foundation in deep learning, embedded hardware design, and graph algorithm design.

My graduate studies are now dedicated to advancing my expertise in the integration of machine learning within digital systems, specifically in the hardware-software co-design for AI chips. I am actively engaged in optimizing transformer algorithms on NeuroSoC platforms, designing embedded ML solutions, and developing innovative digital system functionalities. My goal is to contribute to cutting-edge projects that harness my skills in ML and embedded technologies to drive advancements in AI chip performance and efficiency.