Computer Science, Machine Learning, Language Technologies, Computational Biology | School of Computer Science | Carnegie Mellon

Welcome to the webpage of the Laboratory of Statistical Artificial InteLligence and INtegrative Genomics, at the School of Computer Science, Carnegie Mellon University, located in Pittsburgh, PA. SAILING is a research laboratory created in 2004, headed by Professor Eric Xing. We work on:

Graphical models, Bayesian approaches, inference algorithms, and learning theories for analyzing and mining high-dimensional, longitudinal, and relational data

Computational and comparative genomic analysis of biological sequences, systems biological investigation of gene regulation, and statistical analysis of genetic variation, demography and linkage (to diseases)

Application of statistical learning in text/image mining, vision, and machine translation

Contact

Mailing address : Principal investigator : Administrative assistant :
SAILING Laboratory,
c/o Eric P. Xing,
Associate Professor,
Machine Learning Dept,
Carnegie Mellon University,
5000, Forbes Avenue,
Pittsburgh, PA 15213
Eric P. Xing
Office : Gates Hillman Center
Phone : +1 - (412) 268 2559
Fax : +1 - (412) 268 3431
email : epxing at cs.cmu.edu
Michelle Martin
Office : Wean Hall 4619
Phone : +1 - (412) 268 5527
Fax : +1 - (412) 268 3431
email : michelle324 at cs.cmu.edu

(C) SAILING Lab, 2008 Copyright of published papers held by publishing bodies in question