Andriy Nikolov

Andriy’s main background is in the field of knowledge graphs and data integration. He obtained his PhD in 2010 from the Knowledge Media Institute, The Open University, UK. After that he worked both in academia (KMi, UK & NUIG, Ireland) and industry (fluidOps & metaphacts GmbH, Germany) focusing on graph data management until joining AstraZeneca, UK as a Knowledge Graph Engineer in 2019.

2021 Talk: Biological Insights Knowledge Graph to help drug development

The use of knowledge graphs as a data source for machine learning methods to solve complex problems in life sciences has rapidly become popular in recent years. Our Biological Insights Knowledge Graph (BIKG) combines relevant data for drug development from more than 50 public as well as internal data sources to provide insights for a range of tasks: from identifying new targets to repurposing existing drugs. In our case study presentation we are going to discuss our solutions to challenges of building an integrated knowledge graph from diverse sources as well as present two illustrative use case studies exploiting graph data to produce recommendations for domain experts: identifying candidate genes responsible for drug resistance in CRISPR screens and finding promising drugs for repurposing.