Huan He, PhD

Dr. Huan He is a Research Scientist in the Section of Biomedical Informatics and Data Science at Yale University School of Medicine. His primary research areas revolve around visual analytics and their applications in healthcare-related research. Currently, his work is focused on designing and developing visual analytics systems using natural language processing (NLP) and machine learning (ML) technologies, with the goal of facilitating data exploration for health-related clinical questions.

Before joining Yale University, Dr. Huan He served as a Research Fellow in the Department of Artificial Intelligence and Informatics at Mayo Clinic Rochester. During his time at Mayo Clinic, he led a living evidence synthesis project aimed at establishing a novel informatics infrastructure for providing living systematic reviews and meta-analyses through data visualization, NLP, and ML techniques. Notably, he contributed to an internal grant that utilized data visualization techniques to present national trends of COVID-19 for community surveillance. He also played a crucial role in the development of an OHNLP text annotation toolkit, which promotes privacy-preserved corpus development through a serverless architecture.

In addition to his research contributions, Dr. Huan He is an active member of the medical informatics and NLP communities. He has been involved in organizing committees for the VAHC workshops and IEEE ICHI conferences. Furthermore, he serves as a regular reviewer for esteemed journals such as JBI, JMIR, TVCJ, and various international conferences, including IEEE VIS, IEEE ICHI, IEEE BIBM, AAAI, and AMIA.