I am an NLP researcher and a Masters in Computer Science student at New York University's Courant Institute of Mathematical Sciences.
I am fascinated by our ability to learn and comprehend languages in diverse settings, and I am particularly interested in understanding how languages are transformed into internal abstract ideas and representations. My goal is to enable machines to develop human-like language understanding and reasoning.
My research primarily focuses on language understanding, reasoning, and interpretability. My work spans representation learning, pre-training, and transfer learning techniques, with a focus 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.
