Daniel Boley                

interests:   Numerical Linear Algebra, Data Mining, Control Theory, Fault Tolerance.
email: lastname _at_ umn.edu
office: EE/CSci 4-225C  
Fall 2019 hours: Fri 11:30a-12:30p. (recently changed)  
address: 4-192 EE/CSci, 200 Union St SE, Minneapolis, MN 55455
phone: (612) 625-3887
fax: (612) 625-0572
Director of Graduate Studies for   Master of Science in Data Science   (a new degree 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.


Recent Research and Publications


Clustering Software:

Graphics Software for Introductory Courses:


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