As a fledgling researcher, I am fascinated by the emergent complexity found in the world, particularly how it manifests itself in language and in physical law.

My research interests in Linguistics are in the computational implementation of linguistic theories, in the discovery and implementation of learning algorithms for linguistic models, and in grammar induction through implemented machine learning. I am currently working on a project that involves developing methods of better visualizing linguistic data . I am applying these methods to morphophonological phenomena found in Spanish verbs in hopes that it will help in improving the results of an unsupervised learning algorithm of morphology. I am planning on applying this work to French and Arabic data.

My research experience in physics is limited to work on imaging atmospheric Cherenkov telescopes, to work on the detection of optical transients, and to the direct detection of dark matter. In the summer of 2008, I had the opportunity to work as a research assistant at the Kavli Institute for Cosmological Physics where I worked on designing and building an apparatus to autonomously characterize the performance of Multi-Anode Hamamatsu Photomultiplier tubes. The aim of the project was to increase the sensitivity and resolution of the cameras of a certain IACT telescope array. In the summer of 2019, I had the opportunity to work under Professor Carl Eric Dahl as part of the CIERA REU at Northwestern. As part of that project, I did a combination of experimental work, data collection, data analysis, and python programming. I enjoyed each of these experiences because they either allowed me to indirectly study some of the highest energy phenomena in the universe or some of the more exotic phenomena. In the course of doing research as part of my degree, I have learned that I have a deep interest in astroparticle physics and dark sector physics, and moreover that I enjoy the type of work that the study of those fields requires.