The purpose of my research is to increase our understanding of temporal information flow in social networks. I plan to apply language modeling techniques and network science to study evolving social networks. I am interested in research questions that lie at the intersection of computer science, statistics, and social science.
Most of my previous work has been related to computer and network security. Although my current research focuses on human language technologies, I am also interested in modeling digital communication networks to improve cyber security systems.
Prior to entering graduate school, I worked for a year and a half at Los Alamos National Laboratory (LANL) as a member of the Proactive Network Security team. My primary contribution was to expand the team's state-of-the-art vulnerability assessment and mitigation capabilities. My projects enabled the team, for the first time, to integrate information about vulnerabilities from a wide variety of proprietary products and sources. I also improved the system of tracking, reporting, and mitigating vulnerabilities. In addition, I developed a platform for tracking and evaluating false positive registrations. During my time at LANL, I received a Los Alamos Award Program award for assistance in audit preparation.
I received my bachelor's degree in 2010 in computer science from New Mexico Tech with highest honors. My undergraduate advisors were Lorie Liebrock and Dongwan Shin. During my senior year, I was a member of the Scholarship for Service program, during which time I developed my interest in text mining and social network modeling.
As an undergraduate student, I participated in various research groups including the Geochemical Research Center and the Sensor Networks research group. In addition, I taught two classes: Introduction to Imperative Programming in C and Country Western Dance.
In my spare time, I enjoy swing dancing, cooking, traveling, and being outdoors.