Neo4j: Ask the Expert - Defining Data Foundations for your Agentic Approach in Pharma & Life Sciences
Thursday, November 20
9:00 am PT | 12:00 pm ET
45 Minutes
Graph-powered insights, directly from the experts.
Join us for a live, interactive session with Neo4j experts as we explore how the right graph data model lays the foundation for innovation in Pharma and Life Sciences. Discover how graph intelligence accelerates drug discovery, powers precision medicine, drives supply chain resilience, and strengthens competitive insights.
This session will focus on:
- Building an AI-ready foundation: how to unify structured and unstructered data
- Designing graph data models that unify complex biological, chemical, and clinical data.
- Enabling real-time insights that support precision medicine and drug development.
For deeper value, we recommend reviewing a related course at GraphAcademy.neo4j.com or engaging with recent Neo4j content or events.
Bring Your Questions. Leave with Answers.
Register now to connect directly with Neo4j experts
SPEAKER
Dr. Alex Jarasch
Senior Industry Solutions Specialist - Pharma and Life Sciences
Dr. Alexander Jarasch is Neo4j’s Global Head of Pharma & Life Sciences, the graph database and analytics leader. He specializes in AI, ML, and data engineering within this domain. He also works on combining GenAI with knowledge graphs for target identification, competitive intelligence and in supply chain. With a bioinformatics background, his career spans chemistry, biotech, pharma, and IT. Dr Jarasch has received numerous awards for innovative analytics techniques such as knowledge graphs to combat diseases such as diabetes. Prior to Neo4j, Dr Jarasch was the Head of Data and Knowledge Management at the German Center for Diabetes Research (DZD), following prior roles at Roche Diagnostics, the Max Planck Institute for Biochemistry, and other organizations. He speaks frequently at major healthcare conferences and his published articles can be found in peer-review journals such as SCIENCE, PNAS, Nature Structural & Molecular Biology and Bioinformatics.
