My name is Megan Rose Bryant and I am a second year graduate student in the Computational Operations Research Program at the College of William and Mary. In addition to my studies, I am the teaching assistant for a section of Math 111: Calculus and a grader for two sections of probability and statistics. My full resume is available here: Megan Bryant Resume.

I graduated with a B.S. in Mathematical Sciences and an emphasis in Operations Research from Clemson University December 2013 cum laude and with honors. To date my research has focused primarily on applied and computational mathematics. In particular, I have conducted research in the areas of latin squares, location optimization, verification software, and visualizing assembly line precedence data.

At the 2012 Marshall REU, I performed computational experiments in combinatorics. We utilized the Big Green computing cluster to determine the number of mates of latin squares of sizes 7 and 8. We then developed an algorithm for generating a mate for specific squares, which we termed power squares. Our work resulted in a paper which was presented at the Forty-Fourth Southeastern International Conference on Combinatorics, Graph Theory, and Computing and published in the conference proceedings. It, along with our notes and custom programs are available here for review.

During the summer and fall of 2013, I worked with the Clemson RESOLVE research group. There, I coded a library of mathematical concepts to aid the development of  a verifying compiler in verifying the correctness of code with mathematical certainty. At the completion of this work, I gave a talk entitled “Formalizing Mathematical Developments to Support Verifying Compilers” at the 1st Annual Southeastern Conference for Undergraduate Women in Mathematics.

I also worked with BMW Creative Inquiry group at Clemson University where I developed a method to visualize precedence data for assembly lines. My algorithm automatically extracts data from excel sheets, generates a list of nodes and edges, and translates that list into a graph dot file. This file is then used to generate a graph of the precedence relationships. The graph can be manipulated to emphasis particular aspects of the relationships or it can be used to provide a global perspective.

In my spare time, I enjoy reading, running, video games, and painting miniatures.