Scott Bruce, PhD

Assistant Professor

College of Engineering and Computing

Other Positions:

N/A

Research Theme:

Digital Technologies - Inventing new algorithms, digital techniques, and technologies

Key Interests:

Time Series Analysis, Spectral Analysis, Computational Statistics, Bayesian Data Analysis, Biomedical Applications, Data Science

Education:

PhD, Statistics, Temple University

Research Focus

Improvements in data collection and storage capabilities have led to a growing interest in the study of temporal relationships and dynamics for large, complex data.  Scott Bruce is involved in the development of novel statistical methods for the analysis of time series and longitudinal data generated from modern experimental and observational studies in areas such as sleep research, neuroscience, and psychiatry. Many applications in these fields are not served holistically by existing theory and methods; Bruce is passionate about developing practical, computationally efficient analytical tools that address and utilize the full nature of the complexity underlying the data generating process.

College:

College of Engineering and Computing

Contact Scott:

LinkedIn: N/A