Rulin Shao

Rulin Shao is an experienced researcher with a strong background in machine learning and artificial intelligence. Rulin began research as a Research Assistant at Harvard University, focusing on privacy-preserving federated learning. Rulin contributed to decentralized training and secure inference at the Machine Learning Department at Carnegie Mellon University from September 2021 to January 2023. Currently, Rulin serves as a Research Assistant at the University of Washington, and has previously completed a Winter session at the University of Cambridge. Rulin's industry experience includes roles at Meta as both a Visiting Researcher and Research Intern, as well as an Applied Scientist at Amazon Web Services, where Rulin specialized in training foundation LLMs and multimodal learning. Rulin holds an undergraduate degree in Mathematics, Information and Computational Science from Xi'an Jiaotong University and a Master of Science in Machine Learning from Carnegie Mellon University.