Date: Thursday, October 30, 2025
Time: 10 am ET
Service: QSP Consultancy Services
Product: Certara IQ (QSP Software)
Summary
Certara IQ is a leading AI-powered quantitative systems pharmacology (QSP) modeling software that transforms drug development by democratizing and scaling QSP modeling for companies. This innovative platform leverages AI-driven modeling, cloud computing power, and pre-validated model libraries to deliver robust predictions and drive faster, smarter decision-making across the drug development pipeline.
Why attend?
This webinar will give you a behind-the-scenes look at how Certara IQ is revolutionizing drug discovery and development, democratizing QSP modeling. You’ll gain insights into cutting-edge technology that’s already supporting hundreds of research projects and regulatory filings.
Key takeaways
- Learn how Certara IQ blends AI and cloud computing to accelerate simulations and deliver robust results.
- Discover the real-world applications of QSP modeling, from target identification to clinical trial optimization.
- Explore the platform’s intuitive interface designed for collaboration and efficiency, reducing programming complexity.
- Gain expert insights from Josh Apgar and participate in a live Q&A session to address your specific questions.
Register now

VP, Head of QSP Software, Certara
Dr. Apgar is the VP, Head of QSP Software at Certara, and co-founder of Applied BioMath (acquired by Certara in Dec 2023). Prior to this, Josh was a Principal Scientist in the Systems Biology Group of the Department of Immunology and Inflammation at Boehringer Ingelheim Pharmaceuticals. His work leveraged physics-based models to: translate in vitro and in vivo data, assess target feasibility, understand drug mechanism of action, and predict human doses. The ultimate goal of this work was to reduce late stage attrition in drug development through a deep and quantitative interrogation of drug pharmacology and disease pathophysiology.
Josh received his PhD from MIT in Biological Engineering where he worked on experiment design for Systems Biology, focusing on the identification of tractable experiments that could allow for the estimation of unknown parameters and reveal complex mechanisms in signal transduction networks. Before that Josh worked at Avaki to develop a highly scalable software platform to support High Performance Computing, and Enterprise Information Integration in the Life Sciences, and Engineering.