Dan Boley

Professor, Department of Computer Science and Engineering, and Director of Graduate Studies, Data Science Graduate Program

Research Interests

Computational methods in linear algebra, scalable data mining algorithms, algebraic models in systems and evolutionary biology, biochemical metabolic networks. Current projects include scalable computation and analysis of elementary pathways through metabolic networks of single-cell organisms, Markov model of evolution of the avian influenza virus, scalable data mining algorithms for corpora of short text fragments.