Summary
Yichi Zhang is a software engineer at Google DeepMind with a Ph.D. in Electrical and Computer Engineering from Cornell, where he researched efficient ML model–hardware co-design under Professor Zhiru Zhang. Over seven years he has combined academic rigor with industry impact through multiple research roles and internships at Google Research and Google Brain, focusing on neural network quantization, binarization, and accelerator-aware algorithms. He builds systems that bridge algorithmic compression techniques and hyperscale learning infrastructure, translating research prototypes into production-ready components. Based in Ithaca, he brings deep expertise in co-design trade-offs across hardware and model layers while retaining a practical engineering mindset. Outside of work he writes fiction, plays classical guitar, and hikes—habits that inform a creative approach to technical problem solving.
7 years of coding experience
6 years of employment as a software developer
Undergraduate Electrical Engineering and Computer Science, Undergraduate Electrical Engineering and Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Bachelor's degree Electrical Engineering and Computer Science, Bachelor's degree Electrical Engineering and Computer Science at ShanghaiTech University
Doctor of Philosophy - PhD Electrical and Computer Engineering (ECE), Doctor of Philosophy - PhD Electrical and Computer Engineering (ECE) at Cornell University