Prior to joining MBZUAI, Prof. Xing was a Professor of Computer Science at Carnegie Mellon University, and the Founder, Chairman, and Chief Scientist of Petuum Inc., which was recognized as a 2018 World Economic Forum Technology Pioneer that builds standardized artificial intelligence development platform and operating system for broad and general industrial AI applications. Additionally, Prof. Xing is the Founding Director of the Center for Machine Learning and Health, Carnegie Mellon University, and University of Pittsburgh Medical Center. Prof. Xing has also spent time as a Visiting Associate Professor at Stanford University, and as Visiting Research Professor at Facebook Inc.

Prof. Xing is a recipient of the National Science Foundation (NSF) Career Award, the Alfred P. Sloan Research Fellowship in Computer Science, the United States Air Force Office of Scientific Research Young Investigator Award, the IBM Open Collaborative Research Faculty Award, as well as several best paper awards.

He is a board member of the International Machine Learning Society. He is a Fellow of the Association of Advancement of Artificial Intelligence (AAAI), and an Institute of Electrical and Electronics Engineers (IEEE) Fellow. In the past, he served as the Program Chair (2014) and General Chair (2019) of the International Conference of Machine Learning (ICML).

Prof. Xing has authored or contributed to more than 370 cited research papers and reports. His research has been cited more than 35,000 times by leading academics and academic journals. His main research interests are in the development of machine learning and statistical methodology, and large-scale computational system and architecture, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems.

Prof. Xing has served in numerous other roles in the past including: associate editor of the Journal of the American Statistical Association (JASA), Annals of Applied Statistics (AOAS), IEEE Journal of Pattern Analysis and Machine Intelligence (PAMI), and the PLoS Journal of Computational Biology; action editor of the Machine Learning Journal (MLJ) and Journal of Machine Learning Research (JMLR); member of the United States Department of Defense Advanced Research Projects Agency (DARPA) Information Science and Technology (ISAT) advisory group.

He holds a PhD in Molecular Biology and Biochemistry from the State University of New Jersey, and a PhD in Computer Science from the University of California, Berkeley. He completed his undergraduate study at Tsinghua University.