From Data to Discovery: AI Transforming Life Sciences R&D
Save the Date – Upcoming IZBrunch: Thursday, 16 April 2026
AI is no longer a vision for the future – it is actively reshaping research and development today. At the next IZBrunch, we will take a hands-on look at how artificial intelligence is transforming R&D processes in practice: from data integration and machine learning applications to AI-first drug development strategies.
Experts from IQVIA and the IZB-based startup Eisbach Bio will share practical insights into how AI supports real-world decisions and accelerates innovation. Join us at the IZB for a practice-oriented exchange on AI’s tangible impact on life sciences R&D.
Speakers

Raja Shankar
Vice President, Machine Learning, AI and Technology Solutions, IQVIA
Topic: Transforming R&D with AI
Discover in Raja Talk how AI will transform life sciences over the next 1–3 years. In-silico simulations allow drugs and patient responses to be tested digitally, improving trial design, speeding regulatory approval, and enabling innovations like synthetic control arms and digital twins. Meanwhile, AI agents automate clinical trials end to end – from planning and execution to close-out – including documentation, monitoring, and patient management. Unlike most commentators on AI, Raja does not believe these advances will reduce the cost of clinical development. Instead, they raise quality standards, enable hundreds of simulated scenarios, and open entirely new possibilities – delivering better molecules, stronger evidence, and more successful clinical trials.

Dr. Adrian Schomburg
CEO and Founder, IZB-based startup Eisbach Bio
Topic: AI-First Drug Development in Oncology: Turning Biology into Decisions
AI is only useful in oncology R&D when it converts messy biology into crisp, testable decisions. In this talk, Adrian will show how an AI-first approach can tighten the loop from mechanism and biomarkers to combination strategy and trial design — so teams learn faster with fewer, better experiments. Expect a pragmatic view of what works today, where models fail, and how to build a development playbook that’s decision-driven, not data-driven
Your Host

Christian Gnam
Managing Director, IZB


