Jonathan Ivey

I am first year PhD Student in Computer Science at Johns Hopkins University co-advised by Anjalie Field and Ziang Xiao. Previously, I completed my undergraduate degrees in data science and mathematics at the University of Arkansas where I was advised by Dr. Susan Gauch and collaborated with Dr. David Jurgens at the University of Michigan.

My research interests are currently focused on capturing nuance in text. I am particularly interested in NLP methods for collecting and analyzing qualitative data at scale. Previously, I have done research on retaining disagreement in human annotations, evaluating the ability of LLMs to simulate human dialogues, and helping stress detection models generalize to minorities.

In general, I love projects that try to model complicated, context-dependent data, and I am always looking for creative visualizations. Outside of work, I play guitar and enjoy watching movies. If you have any questions or just want to chat, please reach out!