Live Virtual Workshop | Thursday, February 5, 2026 | 10:00 AM to 2:00 PM ET
Clinical pharmacology and pharmacometrics are experiencing an explosion of novel tools, concepts, and methods that will change, or are already changing, how we do drug development. You have probably heard the terms digital twins, large language models, neural ODEs, causal inference, and QSP workflow.
But what do these terms actually mean, and what are the practical applications in quantitative drug development?
In this live virtual workshop, we will break down these five terms to build a conceptual understanding and clear definition, followed by an example of practical usage in drug development, and an opportunity to interact with instructors to fill any understanding gaps.
By the end of this workshop, you will be able to:
- Describe the definition and concepts of 5 topics: digital twins, large language models, neural ODEs, causal inference, and QSP workflow
- Explain how these concepts/tools may be applied in quantitative drug development.
- Apply a structured framework to understand future new terms and concepts in quantitative drug development.
Step-by-Step Guidance
For each topic, a moderator will guide an expert through explaining the concept via a simple build. The conversational nature of this approach will help you digest the material by conveying technical concepts without getting weighed down by non-essential details.
After learning the concepts, you will discover how each topic is applied broadly across the drug development landscape, giving you practical insight you can bring back to your work.
You’ll engage with live polls and interactive Q&A to reinforce your understanding, see how the concepts apply in real drug development, and get your questions answered by the experts.
Register today to build the skills to define these five foundational concepts, connect each to real development applications, and use a repeatable framework for interpreting emerging tools.
Meet the Organizers
Jackson Burton, PhD, brings a cross-disciplinary perspective grounded in applied mathematics, model-informed drug development, and a strong focus on how emerging AI approaches are influencing drug development. He currently works in immunology and neurology therapeutic areas, doing model-informed drug development as Scientific Director in Clinical Pharmacology and Pharmacometrics at Biogen.
Stacey Tannenbaum, PhD, turns complex quantitative work into clear, compelling insights that drive better decisions. With more than 25 years across industry and consulting, she has led Pharmacometrics teams, shaped successful submissions, optimized dosing strategies in multiple populations, and strengthened communication skills across research organizations.
Frequently Asked Questions
What happens after I register?
The workshop will take place virtually on Thursday, February 5, at 10:00 AM ET. After you register, you’ll receive an email confirming your participation.
Two days before the workshop, you will receive a link to join the session. If you register after Tuesday, February 3, you will receive the link on the morning of the workshop.
Is the workshop live?
Yes, this virtual workshop will be live on Thursday, February 5, at 10:00 AM ET. While the recording will be available afterwards, joining live will allow you to interact with the presenters, ask questions, and address any knowledge gaps you may have.
Will I get a certificate at the end?
Yes, a certificate will be available for download in the online learning platform during the live workshop.
I can no longer attend. Can I have a refund?
If you are unable to attend the workshop and do not want access to the recording, a substitute may attend in your place. Substitution requests can be sent to
meetings@ascpt.org.
If an ASCPT member transfers their registration to a non-member, the non-member must submit a completed application to ASCPT to become a member at the time of substitution, OR pay the difference between the ASCPT member and non-member fee at the time of substitution.