October 2024, presented paper 'Dated Data' at CoLM 2024 and won the Outstanding Paper Award (Top 0.4%); December 2024, released preprint 'Compressed Chain of Thought'.
Research Experience
Currently a PhD student at Princeton PLI, previously completed a Master's degree at Johns Hopkins University, and conducted research in mathematics and fluid dynamics during undergraduate studies at Duke University.
Education
PhD: Princeton PLI, Advisor: Danqi Chen; Master's: Johns Hopkins University, Advisor: Benjamin Van Durme; Undergraduate: Duke University, Advisor: Tarek Elgindi.
Background
Research interests: the intersection of natural language processing and machine learning, particularly in language models and agents; aims to study the downstream effects of pretraining data and methods to improve the capabilities and efficiency of reasoning models.
Miscellany
Hobbies include climbing, chess, and recently started running again after a long break.