Scott Bruce

Scott Bruce is an Assistant Professor in the Department of Statistics at Texas A&M University, part of the College of Arts & Sciences. His research focuses on nonstationary time series analysis, spectral methods, Bayesian learning, and computational data science with applications in sleep medicine, neuroscience, and cardiology. He leads studies integrating statistical methodologies with biomedical and clinical research.

His work spans interdisciplinary collaborations, including investigations into biomarker-driven clinical outcomes, circadian rhythm impacts on behavior, and wavelet-based diagnostic tools for neurology and oncology. Notable projects include the REHAB-HF trial analyzing geriatric syndrome recovery and proteomic studies of myocardial fibrosis. His statistical innovations address nonstationary data challenges across replicated experiments and categorical time series.

Dr. Bruce advises on NIH-funded projects related to heart failure management and geriatric rehabilitation. His lab develops scalable frameworks for analyzing large biomedical datasets, including NBA player tracking comparisons and SARS-CoV-2 seroprevalence studies. He maintains an active role in statistical education and outreach through Texas A&M's College of Arts & Sciences.