I am a PhD student in Computational Linguistics at Stony Brook University (since Fall 2022) and a member of the Institute for Advanced Computational Science (IACS). My research interests are in Natural Language Processing, Computational Linguistics, Computational Social Science, Machine Learning, and Formal Language Theory. My advisors are Dr. Owen Rambow and Dr. Jeffrey Heinz.

Over years, I have worked on projects that study actual language use at large scale as well as how and how well neural networks learn and generalize (explainable AI). I am currently working on detecting influence campaigns from social media and understanding the abilities of Large Language Models (LLMs) to capture people's cognitive states in conversation.

I am also a trainee (since May 2023) for the NSF BIAS-NRT project led by Dr. Susan Brennan that aims to detect and address bias in data, humans, and institutions.

I am looking for a ML/NLP/Data Science internship (research or engineering) for 2024 summer.


I was born and raised in Fuqing, a small southeastern town of China. Prior to coming to Stony Brook, I completed a bachelor's degree in Chinese Language and Literature from Hunan University, and a master's degree in Applied linguistics from University of Saskatchewan.

I am a proud self-taught and self-motivated programmer. I started learning programming in 2020, and have since managed to make programming relevant to and then part of my daily life. Looking back, I am glad to find my experiences with NLP align well with the three major phases of the field featured as: rule-based (symbolic) methods, statistical machine learning, and deep learning. If you take a look at my papers since my master's thesis, such a trajectory should be sensible.


Here is my Curriculum Vitae.



Deep Learning

Text Processing