معرفی
Michael A. Langston is a Professor of Computer Science at the University of Tennessee, affiliated with the Tickle College of Engineering and the Department of Electrical Engineering and Computer Science. He holds core faculty roles in the Genome Science and Technology graduate program and the Bredesen Center for Interdisciplinary Research. His research focuses on big data analytics, combinatorial optimization, graph algorithms, and their applications in computational biology and health disparities. Langston has authored over 400 publications and secured funding from NSF, NIH, and international agencies. Notable awards include the Chancellor’s Award for Research (2014) and the Distinguished Service Prize from ACM SIGACT (2001). He teaches advanced courses in algorithms, graph theory, and computational methods for systems biology.
Education: PhD in Computer Science from Texas A&M University (1981). His research projects include analyzing PM2.5 impacts on cardiovascular health (EPA-funded), maternal mortality risk factors (NIH), and systems biology of Rhodopseudomonas palustris (DOE). He collaborates with Oak Ridge National Laboratory and Meharry Medical College. Langston’s software contributions include Gene Weaver, GrAPPA, and EntropyExplorer, tools for genomic analysis and graph-based computational methods.
- Recent service roles include editorial board membership for Communications of the ACM and leadership in the Bertinoro Systems Biology Workshops.
- Teaching highlights include CS 594/690 on graph algorithms and CS 380 on Theory of Computation.
- Lab members include postdocs Grady Williams and Shuai Niu, and interns Zeyu Chen and Connor Mishler.
