Industry Success Stories
Hear success stories from top leading pharma and life sciences organizations, including Merck Group, Bayer, Qiagen, Novo Nordisk, BASF and others. Learn how they are using Neo4j to power real-world graph use cases.

Technical Deep Dive
Perfect for those seeking practical, technical insights into GenAI, Knowledge Graphs and GraphRAG – featuring Syngenta, Care-for-Rare Foundation and Neo4j. We will explore how to integrate scientific RDF data into Neo4j, build knowledge graphs from diverse life science sources, and power GenAI applications with graph analytics.

Talk Speaker Company
Keynote: Knowledge Graphs – The Strategic Foundation for AI-ready Data in the Enterprise
Jesús Barrasa
Field CTO – AI, Neo4j
Synaptix – Managing R&D Knowledge using Graphs & GenAI Natalie Romanov
Associate Director, Knowledge Management & Data Strategy, Merck Group
Individual-level Data Integration using Graph Approaches Mahmoud Ibrahim
Mission Lead – Data Science & AI, Bayer AG
Building enterprise-scale knowledge graphs for biomedical discovery Theodore Johnson
Senior Data Scientist, Qiagen
Connecting the Dots: Knowledge Graphs as the Engine of R&D Innovation Dr. Girish Srinivas
Project Lab Documentation for Group Research, BASF
Through the Night to the Light: Navigating the Chemical Reaction Data with Noctis Nataliya Lopanitsyna
Principal Data Scientist Computer Assisted Synthesis, Syngenta
Project AMIGO. Translating genetic findings into targeted therapies for children with rare diseases Nicola Götzenberger
Global Liaison Manager, LMU Klinikum
Daniel Weiss
Computational Scientist, LMU Klinikum
The Trouble with Triples (Experiences from the field with RDF -> LPG) Stuart Green
Principal Consulting Engineer, Neo4j
Pharma Supply Chain Demo Jeff Tallman
Principal Solutions Engineer, Neo4j
Yizhi Yin
Senior Solutions Engineer, Neo4j

 

  • Knowledge Graphs: The Strategic Foundation for AI-ready Data in the Enterprise – GT Pharma 2025

  • Synaptix: Managing R&D Knowledge using Graphs & GenAI – GT Pharma 2025

  • Individual-level Data Integration using Graph Approaches – GT Pharma 2025

  • Building enterprise-scale knowledge graphs for biomedical discovery – GT Pharma 2025

  • Connecting the Dots: Knowledge Graphs as the Engine of R&D Innovation – GT Pharma 2025

  • Through the Night to the Light: Navigating the Chemical Reaction Data with Noctis – GT Pharma 2025

  • Translating genetic findings to targeted therapies for children with rare diseases – GT Pharma 2025

  • The Trouble with Triples (Experiences from the field with RDF to LPG) – GT Pharma 2025

  • Pharma Supply Chain Demo – GT Pharma 2025