I'm a Master's student at UC Berkeley studying Information Management and Systems (MIMS) with a concentration in Data Science. I'm passionate about applying machine learning methods to solve problems involving large amounts of textual data. I am currently a Teaching Assistant for Berkeley's Information Organization and Retrieval course taught by David Bamman.
Prior to grad school, I worked as a Back-End Software Engineer at Brightspot for 2 years. I architected the data pipelines and content solutions for clients like Mattress Firm and Janes. I gained robust experience modeling data, integrating and writing APIs, and collaborating across different teams with client stakeholders.
In undergrad, I double-majored in Computer Science and English at The University of Virginia and graduated with High Honors. My thesis project, A Digital Analysis of the Lyrical Novel, was advised by Brad Pasanek. Other involvements at UVA include earning a Research Assistant position at The Institute for Advanced Technology in the Humanities (IATH) and assisting with Brad's Puzzle Poetry project.
Academic projects like my ongoing, quantitative analysis of details in the novel (via an independent study advised by Professor Bamman), plus other personal projects like a language model trained on Supreme Court data, can be found in the Projects section. Check out the Blog for informal updates and experiments.
This summer, I worked as a Graduate Data Science Intern with Red Ventures. As a member of the central platform team, I worked on improving RV's bandit learning pipeline. This exposed me to fascinating areas of development like reinforcement learning and gave me a chance to work with massive amounts of data in a fast-paced, real-world setting. I'm looking forward to joining the team full-time after graduation!