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Accelerating R&D in Life Sciences With Knowledge Graphs

Wednesday, December 14: 7:30 a.m. - 10:00 a.m. PT | 15:30 - 18:00 GMT

Life sciences organizations generate hundreds of thousands of terabytes of data during all phases of research and development. However, data without relationships has very little context. Context is critical because it increases the predictive accuracy of analytics and, especially, machine learning. Enter knowledge graphs.

Knowledge graphs combine heterogeneous data from various sources and drive intelligence into data to equip machine learning and analytics with the context they need. Knowledge graphs are the gateway to powerful graph analytics.

At Accelerating R&D in Life Sciences With Knowledge Graphs, you’ll learn about knowledge graphs and graph data science: how they harness the full potential of relationships and why they are such a powerful addition to the pharmaceutical toolkit across the R&D pipeline.

For this month’s Connections event, join us for a half-day of speakers from leading pharmaceuticals as they share their insights and practical experiences using knowledge graphs in every phase of the drug lifecycle – from target discovery and clinical trials to manufacturing and supply chain, and post-marketing surveillance.

Sign up to get more info on the agenda and speakers, as it becomes available. If you’re unable to attend the entire event, that’s okay! Everyone who registers will get access to all of the sessions on-demand after the event – so be sure to register today.

Register for Connections:
Accelerating R&D in Life Sciences With Knowledge Graphs


Photo of Dr. Jesús Barrasa

Dr. Jesús Barrasa

Senior Director, Sales Engineer

Photo of Dr. Christos Kannas

Dr. Christos Kannas

Associate Principal Scientist

Photo of Saqib Mir

Saqib Mir

Engineering Manager - Marketplace and Knowledge Graphs

Photo of Alexey Kuznetzov

Alexey Kuznetzov

Clinical Programming Leader

Photo of Jorine Putter

Jorine Putter

Clinical Programming Director

Photo of Jonathan Lowe

Jonathan Lowe

Senior Director and Data Science Lead, PGS Operations Insights

Photo of Emil Eifrem

Emil Eifrem

Chief Executive Officer and Co-Founder

Dr. Alexander Jarasch

Field Engineering Specialist Pharma / Healthcare / Biotech


Subject to Change

  • 7:30 – 8:00

    Dr. Jesús Barrasa, Senior Director, Sales Engineering, Neo4j

    Knowledge Graphs and Graph Data Science: More Context, Better Predictions

  • 8:00 – 8:30

    Dr. Christos Kannas, Associate Principal Scientist, AstraZeneca

    A Knowledge Graph for Reaction & Synthesis Prediction

  • 8:30 – 8:55

    Saqib Mir, Engineering Manager – Marketplace and Knowledge Graphs, GlaxoSmithKline

    End-to-End Drug Discovery Project Management

  • 8:55 – 9:20

    Alexey Kuznetzov, Clinical Programming Leader, GlaxoSmithKline

    Jorine Putter, Clinical Programming Director, GlaxoSmithKline

    How Will Knowledge Graphs Improve Clinical Reporting Workflows

  • 9:20 – 9:30

    Jonathan Lowe, Senior Director and Data Science Lead, PGS Operations Insights, Pfizer

    Emil Eifrem, Chief Executive Officer and Co-Founder, Neo4j

    A Fireside Chat with Pfizer: Tracking Drug Genealogy Efficiently with Knowledge Graphs

  • 9:30 – 10:00

    Dr. Alexander Jarasch, Field Engineering Specialist Pharma / Healthcare / Biotech, Neo4j

    Neo4j Demo: Using Knowledge Graphs to Classify Diabetes Patients