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Chunhua Weng

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Chunhua Weng
File:Wng 1200-1800-citybackdrop.jpg
Chunhua Weng
File:Wng 1200-1800-citybackdrop.jpg
Chunhua Weng
File:Wng 1200-1800-citybackdrop.jpg
Chunhua Weng
Born
🏳️ NationalityAmerican
💼 Occupation
Known forClinical Research Informatics
Clinical Text Knowledge Engineering
Rare Disease AI
Electronic Health Records Phenotyping
Precision Medicine
🏅 AwardsFellow, ACMI
Fellow, IAHSI

Chunhua Weng is a China-born American researcher. She is renowned for her work on Clinical Research Informatics. Her research has significantly advanced understanding of how electronic health records data can be used to boost clinical trial recruitment and to facilitate deep phenotyping for rare genetic disorders.

Biography and career

Dr. Chunhua Weng is a tenured Professor of Biomedical Informatics at Columbia University and an elected fellow of American College of Medical Informatics (ACMI) and International Academy of Health Sciences and Informatics (IAHSI). She is also an Associate Editor for Journal of Biomedical Informatics. Dr. Weng holds a Ph.D. in Biomedical and Health Informatics from University of Washington at Seattle. Dr. Weng’s long-term research focus is to improve the rigor, efficiency, patient centeredness, and generalizability of clinical research by developing novel informatics and data science methods to address stakeholder needs throughout the life cycle of clinical evidence, from evidence generation to evidence retrieval, appraisal, summarization and dissemination. As an active researcher in the field of Clinical Research Informatics since 2000, Dr. Weng has published extensively on data-driven optimization of clinical research eligibility criteria, deep phenotyping for genetic rare disorders, rare disease diagnostic decision support, electronic health records data quality assessment and data analytics, and text knowledge engineering using a variety of text (e.g., EHR narratives, PubMed and ClinicalTrials.gov summaries).

Research

Weng’s work focuses on applying informatics and artificial intelligence to improve clinical trial design, recruitment, and execution. She has also contributed to rare disease research through electronic phenotyping, as well as to precision medicine and the development of clinical knowledge engineering methods.

Awards and honors

  • Fellow, ACMI
  • Fellow, IAHSI (International Academy of Health Sciences Informatics)

See also

  • Health Informatics
  • Clinical Research Informatics

References

External links


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