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Michael A. Langston (UT)

Michael A. Langston, Professor of Computer Science, University of Tennessee, USA (UT) received the PhD in Computer Science from Texas A&M University in 1981.

At the University of Tennessee he leads a team of students, post doctoral fellows and research associates whose work is focused on efficient algorithm design, analysis and high performance implementations, with a special emphasis on applications to computational biology. He also serves as Visiting Scientist at Oak Ridge National Laboratory, where he consults in the Computer Science and Mathematics Division, the Life Sciences Division, the Chemical Sciences Division, the Joint Institute for Computational Science and the Computational Biology Institute.

He is currently in the process of developing portals through which the community at large may access his team’s computational tools. His work in developing ClustalXP is a well-known example.

Professor Langston has authored over 180 refereed publications, including journals such as Nature Genetics and is perhaps best known for his long-standing work on combinatorial algorithms, complexity theory and design paradigms for sequential and parallel computation. In addition to maintaining his research program, he regularly teaches courses on algorithmic analysis, bioinformatics, discrete optimization, graph theory and related subjects.

His research has been funded by the National Science Foundation, the Department of Defense, the Department of Energy, the National Institutes of Health, and a variety of other agencies. He has received numerous awards, most recently the Distinguished Service Prize from the Association for Computing Machinery Special Interest Group on Algorithms and Computation Theory.

Key publications

Chesler EJ, Langston MA. Combinatorial Genetic Regulatory Network Analysis Tools for High Throughput Transcriptomic Data. RECOMB Satellite Workshop on Systems Biology and Regulatory Genomics. San Diego, 2005.
Baldwin NE, Chesler EJ, Kirov S, Langston MA, Snoddy JR, Williams RW, et al. Computational, integrative, and comparative methods for the elucidation of genetic coexpression networks. J Biomed Biotechnol 2005; 2005:172-80.

Page Manager: Johan Thompson|Last update: 11/20/2006
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