Summary
Yiyang Zhao is a research scientist at Meta in Boston, applying his nine years of experience spanning machine learning, computer vision, and large language models to advance foundation models and AI systems. He has published in top venues such as ICML, NeurIPS, ICLR, AAAI, and JMLR, amassing 700+ citations and a reputation for Neural Architecture Search that delivered state-of-the-art models across multiple tasks. His career blends academia and industry, with a PhD in Computer Science from Worcester Polytechnic Institute and an MS in Computer Engineering from Northeastern University, complemented by industry internships at NVIDIA and TikTok. He currently drives research in scalable AI with a focus on deploying robust foundation-model work in production settings at Meta. Based in Boston, he leverages a strong theoretical background with hands-on engineering to translate cutting-edge research into practical AI solutions.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Worcester Polytechnic Institute
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Northeastern University
Bachelor of Engineering - BE, Electronics and Information Engineering, Bachelor of Engineering - BE, Electronics and Information Engineering at Xidian University
Chinese, English, Japanese