David has over 20 years’ experience in Drug Discovery IT, including roles as Early Science Enterprise Architect and Enterprise Data Architect at AstraZeneca UK. David provides strategic thought-leadership and domain expertise on the future direction of the IT platforms & applications supporting Early Science. David holds a DPhil in Chemistry from the University of Oxford and a Postgrad Diploma in Data Science, Technology and Innovation (with Medical Informatics) from the University of Edinburgh.
How data platforms are designed to enable AI for success in R&D and improve productivity. This panel will provide practical insights for leveraging data to accelerate discovery and drive results.
1. Overcoming silos in life sciences data ecosystems
2. Emerging tools for data ingestion, transformation, and labeling
3. Data as the foundation for the Agentic AI Lab
4. Agentic AI space across the R&D continuum