Wei-Qi Wei, MD, PhD, FAMIA

Dr. Wei-Qi Wei is a tenured associate professor of Biomedical Informatics and Director of the Precision Phenotyping Core at Vanderbilt University Medical Center. His research spans electronic health record (EHR) phenotyping, artificial intelligence, machine learning, natural language processing, pharmacogenomics, and translational genomics. Internationally recognized for pioneering high-throughput phenotyping methods, Dr. Wei develops scalable tools and frameworks that enable large-scale discovery across diverse clinical and genomic datasets. His work has advanced drug repurposing, individualized treatment prediction, and cross-institutional algorithm portability. He currently leads multiple NIH-funded projects, including several R01s and P50s, such as the eMERGE network and MPRINT. Dr. Wei’s phenotyping tools—such as PheMAP, Phecode, and MEDI—are widely adopted in research and clinical translation. Dr. Wei serves as Associate Editor for Nature Digital Medicine and has authored over 200 publications, with more than 10,000 citations. He is a Fellow of the American Medical Informatics Association and a Vanderbilt Chancellor Faculty Fellow.

His publications can be found here.