On this page we are collecting success stories as well as technical deep dives from various events that took place in 2025. You will find the recordings from GraphTalks Munich and London as well as selected sessions that cover the topic from our online developer conference NODES 2025. We invite you to browse through these videos below. Do not hesitate to reach out, if you want to hear more.
Industry Success Stories
Hear success stories from top leading pharma and life sciences organizations, including Merck Group, Bayer, Qiagen, Novo Nordisk, BASF, AstraZeneca 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.
| Munich – Talk | Speaker | Company |
|---|---|---|
| Keynote: Knowledge Graphs – The Strategic Foundation for AI-ready Data in the Enterprise |
Jesús Barrasa Field CTO – AI, Neo4j |
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| Synaptix – Managing R&D Knowledge using Graphs & GenAI | Natalie Romanov Associate Director, Knowledge Management & Data Strategy, Merck Group |
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| Individual-level Data Integration using Graph Approaches | Mahmoud Ibrahim Mission Lead – Data Science & AI, Bayer AG |
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| Building enterprise-scale knowledge graphs for biomedical discovery | Theodore Johnson Senior Data Scientist, Qiagen |
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| Connecting the Dots: Knowledge Graphs as the Engine of R&D Innovation | Dr. Girish Srinivas Project Lab Documentation for Group Research, BASF |
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| Through the Night to the Light: Navigating the Chemical Reaction Data with Noctis | Nataliya Lopanitsyna Principal Data Scientist Computer Assisted Synthesis, Syngenta |
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| 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 |
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| The Trouble with Triples (Experiences from the field with RDF -> LPG) | Stuart Green Principal Consulting Engineer, Neo4j |
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| Pharma Supply Chain Demo | Jeff Tallman Principal Solutions Engineer, Neo4j Yizhi YinSenior Solutions Engineer, Neo4j |
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| London – Talk | Speaker | Company |
| GenAI meets Knowledge Graphs: Unlocking the additional Value from Unstructured Data |
Dr. Alexander Jarasch – Global Head of Pharma & Life Sciences, Neo4j | |
| Operations Knowledge Fabric: Powering Scalable AI for AZ 2030 |
Russell Adams, Insights & Data Advisory – Life Sciences Lead,
Capgemini and AstraZeneca Maria Sorokina, Knowledge Graph and Semantics Lead, AstraZeneca |
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| Demo: Competitive Intelligence at Speed- Analyse Top 10 Pharma Pipelines in 10 Minutes |
Charlotte Skardon – Senior Solutions Engineer, Neo4j Dr. Alexander Jarasch – Global Head of Pharma & Life Sciences, Neo4j |
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| Life Science @NODES2025 – Talk | Speaker | Company |
| MedQGraph: TMKGs for AI-Driven Healthcare Insights |
Isaac Ritharson – AI Researcher, Northeastern University Ishan Chaudhary – Graduate Research Student, Northeastern University |
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| Knowledge Graph of Drugs Data for Swiss Healthcare System |
Christian Franke – SwissDRG |  |
| Leveraging Knowledge Graph and Imaging to Predict Gene–Disease Links in Cardiovascular Diseases |
Khaled Rjoob – Postdoctoral Researcher, MRC Laboratory of Medical Sciences, Imperial College London |  |
| Multiagent GenAI-Powered Oncology Research with GraphMedAI and Neo4j |
Hanafi Yakouben – Chief Technology Officer, LUX4IT Zouhair Allaoui – Co-Founder and CEO, LUX4IT |
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| From Documents to Dynamic Graphs: Ontology-Driven Clinical Graph Construction with Neo4j and UMLS |
Jarrod Marks – Chief Medical Information Officer, Northern Adelaide Local Health Network |  |
| FHIR in the W.H.O.L.E.: Graphing Clinical Data for Smarter AI Systems |
Julia Hitzbleck – Founder, HI10x; CEO, TrialBridge | TrailBridge |
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30:23
Knowledge Graphs: The Strategic Foundation for AI-ready Data in the Enterprise – GT Pharma 2025
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27:38
Synaptix: Managing R&D Knowledge using Graphs & GenAI – GT Pharma 2025
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19:46
Individual-level Data Integration using Graph Approaches – GT Pharma 2025
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26:38
Building enterprise-scale knowledge graphs for biomedical discovery – GT Pharma 2025
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17:40
Connecting the Dots: Knowledge Graphs as the Engine of R&D Innovation – GT Pharma 2025
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30:04
Through the Night to the Light: Navigating the Chemical Reaction Data with Noctis – GT Pharma 2025
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19:56
Translating genetic findings to targeted therapies for children with rare diseases – GT Pharma 2025
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30:33
The Trouble with Triples (Experiences from the field with RDF to LPG) – GT Pharma 2025
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24:22
Pharma Supply Chain Demo – GT Pharma 2025
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29:57
GenAI meets Knowledge Graphs: Unlocking the additional Value from Unstructured Data
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34:52
Operations Knowledge Fabric: Powering Scalable AI for AZ 2030
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25:53
Demo: Competitive Intelligence at Speed- Analyse Top 10 Pharma Pipelines in 10 Minutes
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16:25
MedQGraph: TMKGs for AI-Driven Healthcare Insights
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14:48
Knowledge Graph of Drugs Data for Swiss Healthcare System
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16:33
Leveraging Knowledge Graph and Imaging to Predict Gene–Disease Links in Cardiovascular Diseases
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15:15
Multiagent GenAI-Powered Oncology Research with GraphMedAI and Neo4j
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34:26
From Documents to Dynamic Graphs: Ontology-Driven Clinical Graph Construction with Neo4j and UMLS
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