Dr. Langston received the Ph.D. in Computer Science from Texas A&M University in 1981. He currently holds the title of Professor of Computer Science at the University of Tennessee. He is core faculty in the university’s Genomics Science and Technology program, and a long-time collaborator with several divisions at the Oak Ridge National Laboratory. Langston is probably best known for his long-standing work on combinatorial algorithms, complexity theory and design paradigms for sequential and parallel computation. His present research efforts are focused primarily on the development, synthesis, analysis and high performance implementation of novel graph algorithms and emergent mathematical methods. Applications of these tools are largely concentrated in the study of high throughput and/or heterogeneous biological data. In addition to maintaining his research program, he regularly teaches courses on algorithm design, automata theory, combinatorics, graph theory and related subjects. Langston’s work has been funded in the U.S. by the National Science Foundation, the National Institutes of Health, the Department of Defense, the Department of Energy and a variety of other state and federal agencies. He has been supported overseas by the Australian Research Council and the European Commission. He has also served on an assortment of editorial boards, including the Association for Computing Machinery’s flagship publication, Communications of the ACM.
Focus Areas: Biomarker Discovery | Computational Systems Biology | High Throughput Omics Analysis
Skills and Expertise: Combinatorics and Graph Theory | Heterogeneous Data Decomposition | High Performance Computation