Rory Jake Samuels

Professional Summary:

Rory Samuels, PhD, is a clinical assistant professor in the Department of Information Systems and Business Analytics. He received his PhD from Baylor’s Department of Statistical Science, where his research application areas ranged from bio-pharmaceutical statistics to remote sensing data analysis. His current research includes collaborative projects with researchers at NASA’s Jet Propulsion Lab where his work focuses on advancing methodologies in functional data analysis.

In the classroom, Samuels emphasizes the integration of statistical methods with practical business analytics, equipping students with the tools to analyze and interpret data for informed decision-making.

Education:

• 2024 – PhD, Statistical Science, Baylor University, Waco, Texas

• 2020 – MS, Statistical Science, Baylor University, Waco, Texas

• 2019 – BS, Statistical Science, Southern Methodist University, Dallas, Texas

• 2019 – BS, Economics, Southern Methodist University, Dallas, Texas

Courses:

• QBA 3305 – Introduction to Business Analytics

Research Interests:

• Multivariate Data Analysis

• Functional Data Analysis

• Pseudo-likelihood Inference

• Spatial Statistics

Selected Publications

• Samuels, R., Young, D. M., & Song, J. J. (2023). Small-sample confidence interval estimation of the common mean value of a multivariate normal distribution. Communications in Statistics-Simulation and Computation, 1-16.

• Carmon, N., Berk, A., Bohn, N., Brodrick, P. G., Dozier, J., Johnson, M., ... & Susiluoto, J. (2023). Shape from spectra. Remote Sensing of Environment, 288, 113497.