Our First Industrial and Computational Mathematics Ph.D.: Candice Marshall

The School of Computer, Mathematical and Natural Sciences is proud to announce the anticipated graduation of its first Ph.D. in the Industrial and Computational Mathematics (ICM) Program, Candice Marshall. Candice also earned her bachelor's and master's degrees in the Morgan Mathematics Department and has been advised throughout her studies by Dr. Asamoah Nkwanta, Chair and Professor of Mathematics.

Industrial and computational mathematics are grounded in research in pure mathematics, but also include theoretical topics from various fields such as physics, biology, economics and computer science. Industrial mathematics primarily addresses challenges found in industry and government. In computational mathematics, computational methods are used to solve problems across a variety STEM fields, emphasizing the use of algorithms, numerical methods, and symbolic methods. The Program, coordinated by Dr. Xiao-Xiong Gan, Professor of Mathematics, offers graduates a wealth of employment opportunities in these quickly growing fields.

Candice has already published two articles in peer-reviewed journals. Her research is in the area of advanced matrix algebra, focusing especially on Riordan matrices. Her exciting new findings could have implications for problems in areas such as RNA prediction in molecular biology, error correcting codes in cryptography, and sorting algorithms in computer science.

The SCMNS family extends its congratulations to Candice, the ICM Program and the Mathematics Department for their ground-breaking accomplishments!

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