Wei Shi

Wei Shi is a highly experienced research scientist currently working at Meta, specializing in modeling, optimization, and reinforcement learning within Meta AI. Wei's academic background includes a Doctor of Philosophy in Electrical and Computer Engineering from the University of Texas at Austin, where responsibilities as a Graduate Research and Teaching Assistant involved high-performance chip design, machine learning, and optimization. Prior experience includes a software internship in machine learning at Facebook and a role as an analog design engineer at Cirrus Logic, focusing on analog filter and analog-digital interface in CODEC chips. Wei also contributed as an undergraduate research assistant at UCLA's Henry Samueli School of Engineering and Applied Science, participating in the Cross-disciplinary Scholars in Science and Technology program. With a Bachelor's degree in Electronic and Information Engineering from Zhejiang University, Wei has a solid foundation in engineering principles and methodologies.