About
Travis B. Thompson, Ph.D. is an Assistant Professor in the Department of Mathematics and Statistics at Texas Tech University, leading the TM4 (Texas Tech Translational and Theoretical Mathematical Modeling and Machine Learning in Medicine) research group. His academic journey includes postdoctoral work at Rice University, Simula Research Laboratory, and the University of Oxford, focusing on mathematics applied to neurodegenerative diseases.
- Education: Ph.D. in Mathematics from Texas A&M University (2013)
Dr. Thompson develops theoretical mathematical models and applies scientific computing and machine learning to study neurological pathologies, particularly Alzheimer’s disease. His work explores complex biological processes on networks, translational healthcare applications, and nutritional security implications. Current research trends integrate neuroimaging data with finite element simulations to model tau progression, amyloid beta dynamics, and glymphatic clearance in age-related diseases.
Scientific awards and honors were not explicitly mentioned in the provided materials. Dr. Thompson’s interdisciplinary approach connects computational neuroscience with biomedical engineering, utilizing techniques like diffusion tensor imaging and level set methods to analyze pathological protein spread and brain tissue mechanics.
The TM4 research group focuses on network neurodegeneration, personalized medicine, and machine learning diagnostics. Their work spans from microfluidic cancer detection to computational modeling of brain clearance mechanisms, addressing challenges in both neurodegenerative diseases and biomedical engineering through rigorous mathematical frameworks.
