Dr. Eric Xing
Carnegie Mellon University, USA

Eric Xing is an assistant professor in the Machine Learning Department, the Language 
Technology Institute, and the Computer Science Department within the School of Computer 
Science at Carnegie Mellon University. His principal research interests lie in the 
development of machine learning and statistical methodology; especially for building 
quantitative models and predictive understandings of the evolutionary mechanism, regulatory 
circuitry, and developmental processes of biological systems; and for a wide spectrum of 
problems in AI involving automated learning, reasoning, and decision-making in open, 
evolving possible worlds.  Professor Xing received his B.S. in Physics from Tsinghua 
University, his first Ph.D. in Molecular Biology and Biochemistry from Rutgers University 
under C.S. Yang, and then his second Ph.D. in Computer Science from UC Berkeley under 
Michael Jordan, Richard Karp and Stuart Russell. He has been a member of the faculty at 
Carnegie Mellon University since 2004, and his current work involves, 1) graphical models, 
Bayesian approaches, inference algorithms, and learning theories for analyzing and mining 
high-dimensional, longitudinal, and relational data; 2) computational and comparative 
genomic analysis of biological sequences, systems biology investigation of gene regulation, 
and statistical analysis of genetic variation, demography and linkage (to diseases); and 3) 
application of statistical learning in text/image mining, vision, and machine translation.