Biography

Sungrim (Riea) Moon, Ph.D., is a Data and Technology Advancement National Service Scholar (DATA Scholar) in NIH’s Office of Data Science Strategy and is part of the Informatics Core within NCATS’ Division of Preclinical Innovation. She has a decade of experience using natural language processing (NLP), machine learning (ML), deep learning and data mining for health care and biomedical data.

Before joining NCATS, Moon was an assistant professor of biomedical informatics and a senior translational informatics analyst at Mayo Clinic. Moon has shown her dedication and biomedical research contributions through more than 50 peer-reviewed publications and many conference presentations.

Moon earned her doctorate in health informatics from the University of Minnesota Twin Cities in 2012. She researched automated disambiguation of acronyms and abbreviations in clinical texts. She also worked to develop sense inventories for those terms. As a postdoctoral research fellow at The University of Texas Health Science Center at Houston, Moon worked on NLP projects with The University of Texas MD Anderson Cancer Center and the Department of Veterans Affairs. At Mayo Clinic, her research included problem contextualization; data processing and analysis; and model design, development, evaluation and visualization. She worked with clinical investigators and information technology teams using electronic health records.

Research Topics

Moon’s primary research centers on developing biomedical informatics applications for translational research in rare diseases. She works to harmonize diverse biomedical and clinical data types, mainly through information retrieval and extraction from free texts using NLP and ML techniques tailored for rare diseases.