Dr. Chia-Hsuan Chang is a Yale-Boehringer Ingelheim Biomedical Data Science Fellow and Postdoctoral Associate at the Yale School of Medicine's Clinical NLP Lab. Working under the mentorship of Dr. Hua Xu and Jon Hill, his research sits at the intersection of Natural Language Processing (NLP) and Large Language Models (LLMs).
He obtained a Ph.D. in Information Systems from National Sun Yat-sen University, under the advice of Dr. San-Yih Hwang. Previously, he was a postdoctoral researcher in the College of Computing & Informatics at Drexel University, mentored by Dr. Christopher Yang.
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Dr. Chang aims to advance literature-based discovery. He develops innovative systems that fuse the PubMed database with biological knowledge graphs to help scientists efficiently generate hypotheses. He addresses critical challenges in employing LLMs for infomation retrieval, specifically cost and interpretability. His recent projects include LITA (PAKDD'25), which enhances topic clustering via a token-efficient LLM-as-a-judge approach, and TopicForest (JBI'25), which improves the user exploration of biomedical texts through hierarchical topic labeling. More broadly, He is also interested in reducing health communication barriers using AI (JHIR'25, IEEE ICHI'24, ECRA'23) and optimizing LLM for clinical prediction tasks (AIME'24, IEEE ICHI'24, IEEE ICHI'23).
See my Google Scholar page for complete publication list.