I am a final-year Ph.D. candidate in Informatics at the Pennsylvania State University, where I am fortunate to be advised by Dr. Fenglong Ma. My primary research lies at the intersection of multimodal learning, healthcare informatics, and knowledge-enhanced AI. I am particularly interested in developing robust, scalable methods that effectively integrate heterogeneous health data—including clinical text, medical images, time-series signals, and structured knowledge—for reliable and interpretable decision-making. My major research contributions have been recognized by top-tier conferences such as KDD, WWW, NeurIPS, ACL, EMNLP, NAACL, CIKM, and AMIA.

Prior to joining Penn State, I received my Master’s degree in Information Science from the University of North Carolina at Chapel Hill under the guidance of Dr. Yue Wang, and my Bachelor’s degree in Automation from Central South University in China, where I was mentored by Dr. Fan Guo. I am deeply grateful to both advisors for introducing me to the field of data science and artificial intelligence, which laid the foundation for my ongoing research journey.

I am on the 2026–2027 academic and industrial job market. Feel free to reach out if you are interested in my work!

News

• One paper accepted by ACM Multimedia 2026 (MM’26)!
• One paper accepted by the Conference on Language Modeling 2026 (COLM’26)!
• Started my internship at Amazon as an Applied Scientist!
• One paper accepted by the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2026 (KDD’26)!
• One paper accepted by the ACM Web Conference 2026 (WWW’26)!

Research Interests

My research interests include but are not limited to:

• Multimodal Healthcare Applications [EMNLP’24] [NeurIPS’24] [KDD’25] [ACL’24] [EMNLP’23] [MM’26]
• Multimodal Self-supervised Learning [ACL’24] [EMNLP’23] [WWW’26]
• Knowledge-enhanced Healthcare Applications [EMNLP’24] [NeurIPS’24] [COLING’24] [AMIA’22] [MM’26]
• Natural Language Processing & Large Language Models [KDD’26] [COLM’26] [WWW’26] [EMNLP’24] [NeurIPS’24] [KDD’24] [COLING’24] [NAACL’22]
• Information Retrieval [KDD’26] [COLM’26] [WWW’26] [KDD’24] [SIGIR’24] [CIKM’22]

Experience

Applied Scientist Intern, Amazon
Jun. 2026 – Sep. 2026

Generative AI Scientist Intern, IQVIA
Aug. 2025 – May 2026

Machine Learning Engineer Intern, TikTok
May 2025 – Aug. 2025

Machine Learning Scientist Intern, Instacart
May 2023 – Aug. 2023

Research Scientist, Renaissance Computing Institute, University of North Carolina at Chapel Hill
May 2022 – Aug. 2022