Summary
Weiwei Yang is a research specialist at Zhejiang Lab in Hangzhou, focusing on high-efficiency computing systems and advanced ML techniques. With a decade of experience spanning academia and industry, she previously served as a Senior Research Scientist at Meta, driving impactful research initiatives. She earned a Ph.D. in Computer Science from the University of Maryland, where she worked on Bayesian methods and computational linguistics in computational social science under advisors Philip Resnik and Jordan Boyd-Graber. Her early career includes roles and internships at Google, Comcast, FiscalNote, Stanford, and Tsinghua University, illustrating a broad, cross-disciplinary background from NLP to time-series and representation learning. Based in Hangzhou, she combines rigorous academic training with real-world system-building to accelerate high-performance computing projects. She earned her bachelor’s degree in Computer Science from Tsinghua University.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Maryland
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Tsinghua University
English, Chinese