معرفی
Greg Rice is an Associate Professor and Associate Chair - Graduate Studies at the University of Waterloo, affiliated with the Department of Statistics and Actuarial Science within the Faculty of Mathematics. His research focuses on functional data analysis, change point detection in time series, and statistical inference in complex systems. He has developed methodologies for analyzing high-dimensional data, including applications in finance and biostatistics. Key contributions include the fChange R package for functional data change point analysis and work on tumor microenvironment modeling using machine learning.
His academic work bridges theoretical statistics with practical applications, addressing challenges in functional time series, panel data, and stochastic processes. Notable areas of investigation include covariance operator analysis, goodness-of-fit testing, and sequential monitoring techniques. Rice’s research also explores interdisciplinary topics like chemotaxis dynamics in cell biology and real-time forecasting in sports analytics.
Rice maintains an active role in statistical software development and has published extensively on foundational methods in functional data analysis. His work emphasizes robust statistical techniques for non-stationary and heterogeneous datasets.
