Connecting the world’s medical research with the Biomedical Data Translator

This is a past event

36 people went

Location image of event venue


Join us to learn lessons from our community member Mark Williams, who has developed a Knowledge Graph first-hand with NIH.

About the speaker:
Mark Williams is a software engineer on the Biomedical Data Translator team at the National Center for Advancing Translational Sciences (NCATS). NCATS’ goal is to accelerate the process of turning observations in the laboratory, clinic and community into interventions that improve the health of individuals and the public — from diagnostics and therapeutics to medical procedures and behavioral changes. Mark studied computer science at the University of South Carolina before working in various aspects of bioinformatics.

About the talk:
With the explosion in biomedical data, the current scarcity is not in information, but in time and expertise to connect and analyze it. It would take somewhere on the order of half a million manhours to read just the abstracts of every journal article published in PubMed, and nearly a year of 24/7 reading to keep up with the 500,000 added each year. The Biomedical Data Translator is an effort to integrate multiple types of existing data from disparate sources to derive knowledge from data, and knowledge graphs play a key part in this effort. Learn from the Biomedical Data Translator team lead, Mark Williams, about the importance and difficulty of entity resolution, data standards, and integrating data across a wide range of domains.

Feel free to share this meetup with anyone who might be interested in learning more about knowledge graphs.

6:00 - 7:00 PM - Networking & Snacks
7:00 - 8:00 PM - Presentation by Mark Williams

Stardog Office
2101 Wilson Boulevard Suite 800
Arlington, VA 22201

There is parking garage in the building and we are just across the street from the Courthouse Metro. There will be folks at the lobby doors letting you in and directing you to the right location as well.

Follow us on Twitter at @KGraphsDC for updates and other Knowledge Graph related news!