I am a Master’s graduate in Computer Science from New York University’s Courant Institute of Mathematics, Computing and Data Science, focused on the intersection of language understanding and scalable AI systems.

I am interested in the principles underlying how machines learn, understand, and reason with language. My research primarily focuses on representation learning, reasoning, and mechanistic interpretability, with an emphasis on studying the training and inference dynamics of language models — how they encode and represent knowledge, apply it to solve tasks, and how we can control and interpret their internal representations.

If you’d like to chat about NLP or ML research, get advice on graduate school applications, or are looking for mentoring, I’m always happy to hear from you — just drop me an email!