Zhecheng Sheng

Welcome!

I am a 3rd-year Ph.D. Student in Health Data Science, and a member of Cognitive AI Lab at UMN. I am honored to be advised by Prof. Serguei Pakhomov. I received B.S. in Agricultural Science at Zhejiang University in 2017 (advised by Prof. Jun Zhu) and M.S. in Biostatistics at Duke University in 2019 (advised by Prof. Benjamin Goldstein).

My current research interests include Natural Language Processing and Trustworthy Machine Learning. My on-going projects specifically focus on developing methodologies to ensure fairness and robustness of machine learning and deep learning models and their application in healthcare. This involves addressing the presence of sensitive features or confounding shifts that may interfere with model performances. Besides, I am also interested in designing methods for probing Large Language Models (LLM) to assess the faithfulness of language generation and adapting it for downstream domain-specific tasks.

Feel free to reach out for a quick chat!