Mike Langston is an internationally-recognized leader in the advancement of graph theoretical algorithms, high performance computing and genome-scale data analytics. He is perhaps best known for his long-standing work on combinatorial algorithms, complexity theory and design paradigms for sequential and parallel computation. Much of his current research is focused on the design, development, synthesis, implementation and analysis of innovative, scalable algorithms for the study of high throughput, high dimensional and/or highly heterogeneous life sciences and health disparities data. He also directs a team of students and associates in the development of portals through which the community at large may access his team's computational tools, and in the development of mapping, scheduling and load-balancing mechanisms with which his algorithms can be realized on high performance platforms.
Topics of expertise:Using big data to study engineering and life sciences, the study of advanced computations and algorithms