About

Na Zhang is a highly skilled Research Scientist with a focus on Applied Machine Learning and High-Performance Computing. She is currently working as a Research Scientist at Meta, where she is involved in AI research to support products, with areas of expertise including AI integrity, modern recommendation systems, content and user understanding, personalized recommendations, and multi-modal modeling (text, image, and video). Na has over 7 years of relevant experience, having previously worked as a Staff Engineer in Machine Learning at VMware's Office of the CTO. Here, she led applied machine learning projects and partnered with different business units to improve internal developer efficiency or enhance product intelligence, with areas of expertise including natural (technical) language processing, full-stack ML infrastructure, and emerging ML technologies (federated learning, fast CPU inference, data center scheduling optimization with reinforcement learning). Na's educational background is impressive, with a Doctor of Philosophy (Ph.D.) in Applied Mathematics and Statistics from Stony Brook University and a Bachelor's degree in Physics from Nankai University. Her doctoral dissertation focused on "Design and Analysis of Parallel Algorithms for Multiscale Modeling of Platelets". Na is a highly skilled professional with a wide range of technical skills, including research scientist, ML, AI, senior software engineer, recommendation system, reinforcement learning, and infra. She is a valuable asset to any team and has a proven track record of delivering high-quality results.