About Us

FindExpertMD is an online big data resource to quickly find the top published experts, both MDs and scientists, in specific diseases, medical procedures, and surgeries. It is designed by BioInfi, a developer of cutting edge AI tools in the life science space that enable organizations to achieve their scientific mission. BioInfi is led by Dr. Pankaj Agarwal, a computational biologist with 23 years of experience leading teams within the pharmaceutical industry to design and build innovative applications to discover and develop new medicines. Dr. Agarwal has published in top journals on the use of literature to discover innovation, find targets, repurpose medicines, and find experts. Dr. Agarwal serves as a consultant to the Bill & Melinda Gates Foundation, and a scientific advisor to BioAge and the PhRMA Foundation. He is a founder and a senior member of the International Society for Computational Biology (ISCB).

Key Publications

  1. Can Literature Analysis Identify Innovation Drivers in Drug Discovery? Agarwal P, Searls DB. Nat Rev Drug Discov. 2009 Nov;8(11):865-78. doi: 10.1038/nrd2973.
  2. Literature Mining in Support of Drug Discovery. Agarwal P, Searls DB. Brief Bioinform. 2008 Nov;9(6):479-92. doi: 10.1093/bib/bbn035
  3. Electronic Health Records: Implications for Drug Discovery. Yao L., Zhang Y., Li Y., Sanseau P., Agarwal P. Drug Discov Today. 2011 Jul;16(13-14):594-9. doi: 10.1016/j.drudis.2011.05.009.
  4. Could Advances in Representation Learning in Artificial Intelligence Provide the New Paradigm for Data Integration in Drug Discovery? Vijayan V, Rouillard AD, Rajpal DK, Agarwal P. Expert Opin Drug Discov. 2019 Mar;14(3):191-194. doi: 10.1080/17460441.2019.1573811. Epub 2019 Jan 30.


FindExpertMD is built from multiple open resources from the National Library of Medicine (NLM) at the U.S. National Institutes of Health (NIH). We gratefully acknowledge the excellent resources from PubMed®, Medline®, Unified Medical Language System®, ClinicalTrials.gov®, and MeSH® (Courtesy of the U.S. National Library of Medicine). We also acknowledge the disease treatment guidelines put together by the American Medical Association, National Institute for Health and Care Excellence (NICE) (UK), National Comprehensive Cancer Network: NCCN (U.S., for cancer), and the now archived AHRQ National Guideline Center (links from the disease pages under this header are to the waybackmachine:internet archive). We have also utilized rare disease data from Orphanet and the Genetic and Rare Diseases Information Center (GARD) from NCATS, NIH.


Please email us at contact@bioinfi.com.