Eric Xing

Dr. Xing develops statistical models and machine learning algorithms for biological network inference and characterization, cis-regulatory module decoding, temporal/spatial gene expression analysis, regulatory evolution modeling, quantitative trait locus mapping, genome polymorphism patterning, and population genetic analysis. He is applying these quantitative approaches to investigate the mechanisms of cancer development and metazoan morphagenesis. He is also interested in developing statistical machine learning methodologies including graphical models, Bayesian approaches, inference algorithms, and learning theories for analyzing and mining high-dimensional, longitudinal, and relational data; and their applications in text/image mining, vision, and natural language processing.