Hello there! I'm a Master's student at The University of California, Berkeley studying Information Management and Systems with an emphasis on Data Science and NLP. My passion lies in harnessing the power of machine learning to tackle problems that involve large amounts of data — especially textual data from sources like books!

At Berkeley, I'm a Teaching Assistant for Natural Language Processing taught by David Bamman. I'm also immersed in a fascinating research project addressing misinformation in pretrained language models. The goal of this research is to 1) benchmark the amount of incorrect information widely used models contain and 2) provide a methodology for repairing false factual associations to guarantee more accurate and effective usage of these models down the road. I'm working with fellow classmates as part of our MIMS capstone project under the advisement of Professor Bamman.

Recently, I worked as a Graduate Data Science Intern with Red Ventures. I explored and improved RV's decision optimization API. I dove deep into fascinating areas like reinforcement learning and applied statistics while working with massive amounts of real-world data. I'm thrilled to be joining the team full-time after I graduate and can't wait to continue pushing the boundaries of what's possible with data science!

Prior to grad school, I worked as a Back End Software Engineer at Brightspot for 2 years. During my time there, I designed and implemented data pipelines and content solutions for high-profile clients like Mattress Firm and Janes. This role gave me invaluable experience in data modeling, API construction, and stakeholder collaboration, which I've carried forward into my current work.

In undergrad, I double-majored in Computer Science and English at The University of Virginia, graduating with High Honors in 2019. My thesis project for the English department, A Digital Analysis of the Lyrical Novel, was advised by Brad Pasanek. Additionally, I was fortunate enough to earn a Research Assistant position at The Institute for Advanced Technology in the Humanities and assist with Brad's Puzzle Poetry project, which were wonderful chances to explore of digital humanities methodologies.

Thanks for taking the time to learn more about me and my work. If you're interested in collaborating or learning more, please don't hesitate to reach out!