About

My name is Megan Rose Bryant. I’m a Information Technology Analyst at Colonial Behavioral Health. My primary responsibilities are performing various system analysis techniques, providing technical support to over 200 end-users, and writing detailed documentation of resolutions. Additional duties include hardware deployment, imaging of workstations, utilizing remote access tools, setup and maintenance of the VoIP system, configuration and deployment of staff smart phones, and conducting bi-weekly new employee orientation.

I graduated from the College of William and Mary with a Masters in Computer Science and a concentration in Computational Operations Research. In addition to my studies, I was the teaching assistant for  Math 111: Calculus and a grader for multiple courses, including Linear Algebra, Probability and Statistics, and Data Analysis.

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.

 

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