About me
Lin Xiao is a Research Scientist at Facebook AI Research (FAIR) in Seattle, Washington. He received BE from Beijing University of Aeronautics and Astronautics (Beihang University) and PhD from Stanford University, and was a postdoctoral fellow in the Center for the Mathematics of Information at California Institute of Technology. Before joining Meta, he spent 14 years as a Researcher at Microsoft Research. He currently serves as an associate editor for the SIAM Journal on Optimization, Mathematical Programming, and Journal of Machine Learning Research.
He was a winner of the Young Researcher Competition at the first ICCOPT in 2004 for his work on the fastest mixing Markov chains, the Test-of-Time Award at NeurIPS 2019 for his work on the regularized dual averaging method for sparse online learning, and the Test-of-Time Award at ACM SenSys 2025 for his work on distributed sensor fusion using average consensus. His current research interests include theory and algorithms for large-scale optimization and machine learning, reinforcement learning, and parallel and distributed computing.
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