Led a team of students in a fifteen-week data science research project, culminating in their development of classification models capable of identifying "fake" news articles.Equipped them not only with the technical skills needed to feel comfortable tackling data science problems on their own, but an appreciation for the human, social, and ethical contexts of their responsibility as burgeoning data scientists.

Cleaned found data and created dynamic visualizations using Folium and Matplotlib investigating the relationship between urban housing density and carbon emissions in the United States.

Writing and editing satire about UC Berkeley and global events.

Currently working on the Named Entity Recognition and Large Language Model sub teams of the FactGrid Cuneiform project. Developing at the cutting edge of machine lemmatization technology and training, testing, and problem-solving Cuneiform language models.

Assisted in the design and redevelopment of the Food First Fellows Program, and organization strategy at large.Developed and managed the deployment of systems for assessing success of fellow- and internships.Provided Fellows with meaningful support in creating curriculum, communicating their mission, and measuring progress.