Graduate School of Business
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Ruoxuan Xiong
Postdoctoral Research Fellow, Business
BioResearch interests: Financial technology, causal inference, experimental design, statistical learning
Personal website: http://web.stanford.edu/~rxiong/ -
Kuang Xu
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
BioKuang Xu was born in Suzhou, China. He received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. He was a postdoctoral fellow at the Microsoft Research-Inria Joint Center in Paris, France (2014-2015).
His research primarily focuses on understanding fundamental properties and design principles of large-scale stochastic systems using tools from probability theory and optimization, with applications in queueing networks, healthcare, privacy and machine learning. He received First Place in the INFORMS George E. Nicholson Student Paper Competition (2011), the Best Paper Award, as well as the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS (2013), and the ACM SIGMETRICS Rising Star Research Award (2020). He currently serves as an Associate Editor for Operations Research.