I am interested in quantifying and predicting the spatial and temporal dynamics of information exchange in networks. My work involves the joint application of Bayesian topic models and network models to study both the structure of social networks and the patterns of information exchange that emerge and evolve across these networks over time. Currently, I am working on anomaly detection and changepoint detection for information exchange processes.
My previous work was related to computer and network security. Although my current research focuses on human language technologies, I am very interested in studying digital communication networks to improve cyber security systems.
Prior to entering graduate school, I worked 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.
As an undergraduate student, I participated in several 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.