Assessing whether a signaling pathway plays a signiﬁcant role in a given disease or treatment area is a time-consuming process that typically spans multiple diﬀerent labs with diﬀerent data deﬁnitions and schemas and relies on manual literature reviews
by highly specialized business and domain experts.
In this webinar, Stardog along with their solutions partner ZS Associates, will present a methodology for assembling a systems biology data fabric that enables FAIR data and automates some of the tasks involved in this time-consuming process by combining
knowledge available from public data sources as well as facts extracted from literature using state of the art NLP and machine learning.
The resulting data fabric not only helps business experts save signiﬁcant time and eﬀort performing manual literature deep dives, but it also provides a methodology and an infrastructure for systematically collecting critical decision-making evidence
and insights and dynamically delivering semantically enriched data to the organization.
- Understand the components of a data fabric as explained by industry experts from Stardog and ZS Associates
- Learn how a data fabric can help implement and manage FAIR data within your organization
- Discuss the key considerations for implementing a data fabric within your own organization
CDOs, CDTOs, Data Scientists, Directors of Digital Transformation, Research Scientists, Clinical Data Managers/Directors, Data Architects
Vice President, Solutions Consulting
Rob Harris is Vice President of Solutions Consulting at Stardog, where he helps some of the world’s leading organizations unleash the power of their data through the use of a knowledge graph. He has over 20 years of experience in the ﬁelds of Data Governance, Data Integration, Master Data Management, and Business Intelligence. Prior to Stardog, Rob led the IBM North American software division as the Chief Architect for their Data and AI products, after holding leading roles at Dell, Walgreens, and ABN AMRO. Rob is a graduate of the University of Illinois, Urbana-Champaign in Computer Science.
Helena Deus, PhD
Data Science Manager
Helena Deus received her PhD in Computational Biology where she focused on knowledge graph-based management systems as enablers for translational medicine. Helena is passionate about ﬁnding data science and technology solutions that can signiﬁcantly accelerate innovation in translational medicine, with a particular emphasis in oncology. She is currently a Data Science Manager at ZS Associates, where she leads biomedical semantic solutions.
Allison Proﬃtt is a science writer with a background in biology and chemistry, research experience in cancer biology, and an expanding repertoire in biotech, AI, and battery chemistry. She serves as the editorial director for the Healthtech Publishing media group, a growing collection of online news sites. In addition to Bio-IT World, her work has been published by Nature Biotech, Chemical & Engineering News, and the Economist Intelligence Unit. She has a bachelor’s degree in communication of science, engineering, and technology from Vanderbilt University and a master’s degree in science and medical writing from Johns Hopkins University.
Stardog turns data into knowledge to power more eﬀective digital transformations. Industry leaders including BNY Mellon, Bosch, and NASA use Stardog to create a ﬂexible data layer that can support countless applications. With Stardog, customers reduce data preparation timelines by up to 90%.
Stardog is a privately held, venture-backed company headquartered in Arlington, VA. For more information, please visit www.stardog.com.
Cost: No Cost!
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