Zhiyong Lu, Ph.D.

Senior Investigator

Biomedical Text Mining Group


Building 38A, Room 10N1003A
8600 Rockville Pike
Bethesda, MD 20894



Research Topics

Dr. Lu's research group is developing computational methods and software tools for text mining research (analyzing and making sense of natural language data in biomedical literature and clincial text). Some of his recent research has been successfully integrated into and widely used in PubMed and other NCBI databases.

His current focus areas include:

  • Biomedical literaure analysis and retrieval (BioNLP)
  • Computer-assisted biomedical data curation (Biocuration)
  • Web access to comsumer health information (Health Informatics)
  • Computational drug repositioning (Translational Bioinformatics)


Dr. Lu is a Stadtman investigator at the National Center for Biotechnology Information (NCBI), where he joined after earning a Ph.D. in Bioinformatics at the University of Colorado School of Medicine.

Selected Publications

  1. Fiorini N, Canese K, Starchenko G, Kireev E, Kim W, Miller V, Osipov M, Kholodov M, Ismagilov R, Mohan S, Ostell J, Lu Z. Best Match: New relevance search for PubMed. PLoS Biol. 2018;16(8):e2005343.

  2. Lee K, Famiglietti ML, McMahon A, Wei CH, MacArthur JAL, Poux S, Breuza L, Bridge A, Cunningham F, Xenarios I, Lu Z. Scaling up data curation using deep learning: An application to literature triage in genomic variation resources. PLoS Comput Biol. 2018;14(8):e1006390.

  3. Singhal A, Simmons M, Lu Z. Text Mining Genotype-Phenotype Relationships from Biomedical Literature for Database Curation and Precision Medicine. PLoS Comput Biol. 2016;12(11):e1005017.

  4. Leaman R, Islamaj Dogan R, Lu Z. DNorm: disease name normalization with pairwise learning to rank. Bioinformatics. 2013;29(22):2909-17.

  5. Wei CH, Kao HY, Lu Z. PubTator: a web-based text mining tool for assisting biocuration. Nucleic Acids Res. 2013;41(Web Server issue):W518-22.

This page was last updated on September 6th, 2018