About

Hi, I am Kuleen, a senior Computer Science and Applied Math Double Major at Johns Hopkins University.

I am generally interested in trustworthy and multimodal models for practical applications like rare disease monitoring and computational social science.

I split my time generally across a couple NLP labs

• University of Alabama Birmingham: focusing on information extraction, synthetic data, label bias, drug repurposing and knowledge graphs for clinical and biomedical applications
• Johns Hopkins Center for Language and Speech Processing: LLM fairness and implicit/tricky hate speech detection
• AIM Harvard: multimodal fairness and mechanistic interpretability
• Johns Hopkins University Applied Physics Lab: long form video understanding, creating pretraining corpora from PDFs, and building AutoML systems for beginners

I used to work at the Department of Computational and Data Sciences at George Mason University focusing on predicting COVID-19 vaccine hestiancy from social media

Outside of NLP, I like playing around with large scale optimization problems and bayesian statistics.

On the side, I like running Quizbowl tournaments and building avionics for rockets.