| Pittsburgh, PA|
| Eric Xing|
| Carnegie Mellon University
Probabilistic graphical models and algorithms for genomic analysis (2004)
Member of the DARPA (ISAT) Advisory Group (2011-2014)
Air Force Young Investigator Award (2010-2015)
Sloan Fellowship (2008-2010)
NSF Career Award (2006-2011)
University of California, Berkeley, Rutgers University
Computer Science, Machine learning
Carnegie Mellon University, Stanford University
Richard M. Karp, Michael I. Jordan, Stuart J. Russell
Eric Xing Wikipedia
Eric Xing is a professor at Carnegie Mellon University and researcher in machine learning, computational biology, and statistical methodology.
Xing received a B.Sc. in physics at Tsinghua University in 1993, and a Ph.D. in molecular biology at Rutgers University in 1999 and a Ph.D. in computer science at the University of California, Berkeley in 2004.
He has won several awards, including recipient of the NSF Career Award and an Alfred P. Sloan Research Fellowship.
Xing with his collaborators developed the Petuum framework for distributed machine learning with massive data, big models, and a wide spectrum of algorithms.
In 2016, he was elected Fellow of AAAI.