Advanced Strategies for Safety Signal Contextualization
Thursday, March 19, 2026 10:00 – 10:45 AM ET
Navigating today’s complex safety landscape requires more than just detection, it requires context. This webinar explores AI-enhanced approaches to structuring and connecting diverse data sources to reveal the "big picture" behind safety signals. Rather than reviewing broad workflows, we focus on practical methods for managing large datasets and strengthening the interpretation process. Join us to see how real-world applications of these techniques empower better decision-making across safety, research, and analytics.
FEATURED TOPICS:
- Understand practical methods for contextualizing safety signals using AI
- Describe techniques for managing, structuring, and connecting complex data inputs
INTEREST AREAS:
- Biotechnology
- Clinical Data Management
- Clinical Safety/Pharmacovigilance
- Document Management
- Quality Assurance/Control
- Regulatory Affairs
- Research & Development
- Stephanie Senn, Product Manager Vigilance Signal, IQVIA
As Product Management Lead for IQVIA Vigilance Signal, Stephanie is responsible for driving the overall strategy for IQVIA’s signal detection and management solution. She is focused on identifying innovative opportunities to continuously improve the solution. Senn has 10 years of experience within safety and PV, and worked within industry before joining IQVIA in 2018. She utilizes her knowledge and first-hand experience in signal management to guide and support clients in the adoption of optimized, compliant signal processes. Senn obtained her Bachelor’s degree in Neuroscience from the University of Manchester and passed her Master’s degree in Drug Development Science with Distinction at King’s College London.
- Raja Shankar, Vice President, Machine Learning, Research and Development Solutions, IQVIA
Raja is focused on transforming life sciences with Applied AI. As the VP for Machine Learning, Raja is determined to change healthcare with the power of AI. He believes that imagination is the biggest barrier and motivates his team to create new narratives that fully leverage AI's potential to reshape the industry from R&D through to commercialization.
Raja brings together a diverse set of technical and strategic capabilities, including Machine Learning, Deep Learning, Generative AI, Product Development, Life Sciences Expertise and Business Consulting Skills. His team combines data science, engineering, domain expertise and consulting skills to drive impactful change by applying AI to life sciences and healthcare decisions. Currently, his focus is on leveraging data and AI to help transform clinical development. Raja is a trusted advisor to global life sciences companies, public sector clients and international organizations.