Wei-Qi Wei, Ph.D.

Associate Professor

wei-qi.wei@vanderbilt.edu

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Faculty Appointments
Associate Professor of Biomedical Informatics Assistant Professor of Computer Science
Education
Ph.D., University of Minnesota, Twin Cities, MinnesotaM.Med., Peking Union Medical College, Beijing, China
Research Description
Dr. Wei's research focuses on leveraging machine-processable content from EHRs to enable personalized medicine.

Wei-Qi Wei, MD, Ph.D., is an associate professor with tenure in biomedical informatics at Vanderbilt University Medical Center (VUMC) who specializes in high throughput phenotyping for large-scale discovery using electronic health records (EHRs). His research program focuses on creating and leveraging informatics tools, including machine learning, natural language processing, and ontology techniques, to harvest knowledge from big clinical/genetic data to advance precision medicine. His work has generated novel approaches (e.g., PheMAP and DDIWAS) for research and discovered new genetic relationships between common diseases (e.g., cardiovascular diseases) and common drugs (e.g., statin).

Dr. Wei is the PI of multiple R01s and P50s (including NHGRI’s eMERGE Network). He has chaired the eMERGE phenotyping and NLP workgroup since 2019 and serves as the director of Precision Phenotyping Core at VUMC. Dr. Wei has published >200 research papers and invited reviews. He has trained 20 pre- and postdoctoral fellows over his career.

Lab: http://www.phentoyping.org; http://www.phecode.org
Publications: https://scholar.google.com/citations?user=xuw6dakAAAAJ&hl=en
Available Postdoctoral Position Details
Posted: 3/24/2021

The Wei Lab (http://phenotyping.org/) in the Center for Precision Medicine (https://www.vumc.org/cpm/) was founded to enable better research through better Electronic Health Record based phenotyping. We are looking to recruit talented postdoctoral researchers with a passion for science to support numerous NIH grants in the area of EHR phenotyping, natural language processing, machine learning, PheWAS, and Pharmacogenomics research.

Applicants must have been awarded a doctorate in biomedical informatics, medicine or a related field. Programming skills are required. A background in Mathematics, Computer Science, Biostatistics, Biomedical Informatics, Medicine, and/or Genetics is preferred but not required. Positions are available immediately. Applications will be evaluated as they are received.

To apply, please send an email to Drs. Wei-Qi Wei (wei-qi.wei@vumc.org) and Henry Ong (henry.h.ong@vumc.org) with your statement of purpose (1 or 2 paragraphs), full CV, and contact information for 3 references.