Yao Xie

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Yao Xie is an Associate Professor, Harold R. and Mary Anne Nash Early Career Professor at Georgia Institute of Technology in the H. Milton Stewart School of Industrial and Systems Engineering and Associate Director of the Machine Learning Center. She received her Ph.D. in Electrical Engineering (minor in Mathematics) from Stanford University and was a Research Scientist at Duke University. Her research lies at the intersection of statistics, machine learning, and optimization in providing theoretical guarantees and developing computationally efficient and statistically powerful methods for problems motivated by real-world applications. She received the National Science Foundation (NSF) CAREER Award in 2017, INFORMS Wagner Prize Finalist in 2021, and the INFORMS Gaver Early Career Award for Excellence in Operations Research in 2022. She is currently an Associate Editor for IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, Journal of the American Statistical Association, Theory and Methods, Sequential Analysis: Design Methods and Applications, INFORMS Journal on Data Science, and an Area Chair of NeurIPS in 2021 and 2022 and ICML in 2023..

  • Statistics
  • Machine Learning
  • Signal Processing
INFORMS Donald P. Gaver, Jr. Early Career Award for Excellence in Operations Research 2022
Finalist for Daniel H. Wagner Prize for Excellence in Operations Research 2021
Georgia Tech Emerging Leaders Program 2020
"Smart 50" Award at Smart Cities Connect Conference and Expo 2018
National Science Foundation CAREER Award 2017
Georgia Tech Serve-Learn-Sustain Fellow 2017
Class of 1969 Teaching Fellow, Georgia Tech 2015
General Yao-Wu Wang Stanford Graduate Fellowship 2007-2010
Pan Wen Yuan Scholarship 2007
Alumni Fellowship, University of Florida 2004-2006
Best Undergraduate Thesis Award, University of Science and Technology of China 2004
Zongzhi Zhang Science and Technology Scholarship 2003