There are approximately thirty faculty members in the School of Mathematics and Statistics who are active in diverse areas of research. These individuals are complemented by nine distinguished research professors who continue to be significant contributors to the life of the School.

The School has research groups in Algebra, Analysis, Combinatorics, Probability, and Statistics. The algebraists conduct research in group theory (both algebraic and geometric), semi groups and their applications to automata theory, group algebras, Lie theory, representation theory, modular forms and number theory.

The Analysis group consists of faculty members devoted to theoretical aspects that include theoretical probability, harmonic and functional analysis, ergodic theory, locally compact groups and Lie groups, and Banach and operator algebras. There are still others who focus on the application of numerical and analytical methods including finite-difference and spectral methods, and asymptotic and perturbation methods, to problems in areas such as fluid dynamics, optics, biology, and finance.

The School also boasts a Discrete Mathematics group, which comprises faculty with interests in combinatorics (designs, enumeration, and optimization), graph theory, finite fields and applications, analysis of algorithms, and automata and formal languages.

The areas of Probability and Statistics are also well-represented with dynamic and energetic faculty. The probabilists focus on stochastic processes and applications, population and evolutionary models, stochastic analysis, asymptotics, approximations to models, limit theorems, and estimation and nonparametric methods.

The statisticians are a diverse group with a broad range of research interests that include survey sampling, data mining, classification, pattern recognition, nonparametric methods, curve estimation, bootstrap methods, recurrent event data, models for event processes, estimation, order restricted and robust inference, dependent data analysis, biostatistics, longitudinal data analysis, missing data analysis, order statistics, and empirical Bayes estimation.