Dr. Chunhua Weng is an Associate Professor of Biomedical Informatics at Columbia University, where she has been a faculty member since 2007. Before arriving at Columbia, she obtained an undergraduate degree in computer science from Nankai University, China, a master’s degree in Information and Computer Science from the University of California at Irvine, and a Ph.D. in Biomedical and Health Informatics from the University of Washington at Seattle.
Dr. Weng’s research is focused on Clinical Research Informatics. By combining a broad range of methods for information retrieval, knowledge engineering, machine learning, and human factor studies, Dr. Weng’s lab has contributed in-depth understandings of challenges for reusing EHR data to develop patient representations, novel techniques for developing patient representations from text, automated and semi-automated methods for populating these representations using text, and system designs to apply these representations to improve human workflow and information quality for clinical research processes. The impact of her work lies in both patient representations and methods, which are generalizable beyond clinical research.
The National Library of Medicine, the Human Genome Research Institute, FDA, and the Patient-Centered Outcomes Research Institute have supported Dr. Weng’s research. Also, Dr. Weng has received several signature awards from Columbia University, including an Irving Fellowship (2007–2010), a two-phase Collaborative and Multidisciplinary Pilot Research Award (CaMPR) (2008–2010), a Columbia University Diversity Research Fellowship (2009), and an Irving Scholarship (2010–2013). Dr. Weng was a finalist in the 2010 Microsoft Faculty Fellowship Award. Dr. Weng is also a member on the editorial boards for the Journal of Biomedical Informatics and has been a member on the scientific program committees for several annual informatics meetings.