I am an Applied Scientist at Amazon AWS AI as part of a team working on conversational analytics such as summarization, sentiment analysis and trend detection. I received my PhD degree from the Department of Computer Science at Stony Brook University under the supervision of Prof. Niranjan Balasubramanian. At Stony Brook, I was a member of the LUNR (Language Understanding and Reasoning) Lab . Before joining Stony Brook, I received my M.S. in Computer Science at the University of California, Santa Barbara (UCSB) under the supervision of Prof. William Yang Wang.

My research is in the field of Natural Language Processing, more specifically using Large Language Models (LLMs) as primitives to reason about events and model how real-life scenarios unfold. I’m also very much interested in abstractive text summarization, mainly towards more controllable, factual summary generation and automatic summary evaluation using LLMs.