معرفی
Dr. Michael Langston is a Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, affiliated with the Tickle College of Engineering. He holds roles as Core Faculty in the UT Graduate School in Genome Science and Technology, and Data Science Faculty in the Bredesen Center. His research focuses on algorithmic solutions for complex problems in life sciences and environmental science. He collaborates with Oak Ridge National Laboratory and has led/ contributed to interdisciplinary projects funded by NIH, DOE, and others.
Education:
- PhD in Computer Science, Texas A&M University, 1981
Research Interests: Langston's work spans big data analytics, graph algorithms, machine learning applications in healthcare, and computational biology. Notable areas include climate change health impacts, kidney disease therapeutics, tuberculosis dissemination modeling, and pregnancy-associated mortality analysis. He develops scalable tools like GrAPPA and Gene Weaver for systems biology.
Grants & Collaborations:
- DOE ARM Network Machine Learning (PI)
- CVD-PM2.5 Exposome Analysis (Co-PI)
- Chronic Kidney Disease Interventions (Co-PI)
- TB Dissemination Modeling (Co-PI)
- Multiple NIH-funded health equity projects
Labs/Teams: Directs Langston Lab, part of interdisciplinary networks including UT's Genome Science and Technology program. Engages in international collaborations through projects like the ARC Centre in Bioinformatics.
