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Live Events

Certara IQ™ Workshop

Date: April 16, 2026

Time: 9:00am – 1:00pm ET

Location: CIC – Cambridge (Havana Room, Floor 5) 1 Broadway Cambridge, MA 02142

Summary

This interactive, in-person, hands-on workshop trains attendees in using Certara IQ™, an AI-enabled QSP modeling platform that accelerates drug development. You will learn to build, optimize, and scale QSP models using AI-guided workflows, cloud-based simulations, and model libraries. Through the QSP case studies, you will see how Certara IQ streamlines systems pharmacology and supports confident decision-making across discovery to clinical stages.

Key takeaways

  • Explore the latest QSP case studies and learn practical strategies to adopt QSP modeling in discovery and development projects for improved decision-making and accelerated innovation.
  • Build and scale QSP models efficiently using AI-driven workflows, reusable model components, and cloud-based computing within Certara IQ.
  • Optimize and validate models through automated parameter estimation, sensitivity analysis, and reproducibility tools to ensure regulatory readiness.
  • Integrate QSP modeling software, Certara IQ, into cross-functional drug development workflows to enhance collaboration, data transparency, and translation from preclinical to clinical outcomes

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Who should attend

Anyone looking for hands-on engagement with a QSP modeling platform, including (but not limited to):

  • Modelers (QSP, translational PKPD, DMPK)
  • Clinical pharmacology (Quantitative Pharmacology)
  • Project leads, R&D heads

Important notes

  • You will receive an email from the event organizer once your registration is confirmed.
  • You will receive a separate email prior to the workshop about steps for using the software during the workshop.
  • This workshop is free. Refreshments, beverages, and lunch will be provided.
  • All participants are kindly requested to bring a valid ID for verification at the venue bring their own laptop for the hands-on components of the workshop.

Presenters

Josh Apgar

Joshua Apgar, PhD

VP, Head of QSP Software

Before co-founding Applied BioMath, 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.

Andrew Matteson

Sr Director of Product, QSP

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