Description
Certara Workshop at ACoP 2026 - AI Assisted Pharmacometrics
Price: $150 (Academic $75) - Lunch Included
For academic pricing, contact info@certarauniversity.com. Be prepared to offer some evidence (such as an academic email address or a student ID) that you are eligible for the discount.
Course Description
Population PK/PD modeling is the foundation of pharmacometrics. Yet the workflows behind it are slow, technically demanding, and hard to scale. What if the tools got out of the way and let you focus on the science?
In this 3-hour hands-on workshop, Certara's Phoenix experts introduce two new tools that reimagine how population models are built and run. Both tools rely on the trusted, industry-standard Phoenix NLME engine.
Introduction
First, you'll work with Model Designer, a browser-based pharmacometrics modeling tool built for scientists, not software engineers. With no installation and a guided, visual interface, you'll browse a curated model library, configure structural and statistical model features through intuitive options or author PML directly, and simulate and visualize results in real time.
Then go further with our workflow agent, which brings the AI assistants you already use (e.g., Cursor, Claude, and Codex) into the command-line interface for the versatile Phoenix Modeling Language. Describe your goal in plain language, and the assistant executes a complete RsNLME workflow: exploratory data analysis, base model development, stepwise covariate modeling, goodness-of-fit diagnostics, VPCs, and a reproducible, shareable report. You remain in control at each iteration and decision point.
Scope
This workshop covers:
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How to build, configure, and simulate population PK/PD models visually in Model Designer — no installation or coding required
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How agentic AI, powered by RsNLME's MCP server, can execute end-to-end modeling workflows from plain-language prompts
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How Model Designer and the workflow agent connect into one reproducible workflow, backed by the Phoenix NLME engine
Objectives
By the end of this workshop, it is anticipated that participants will be able to accomplish the items listed under Scope above using Model Designer and the Phoenix workflow agent.
Style
Join us for a hands-on session and a catered lunch at noon for a first look at where modeling is heading.
Audience
Proficiency with model specification and parameterization (coding skills not required)
Location
Chesapeake H., 2nd Floor of the Gaylord National Resort & Convention Center in National Harbor, Maryland (official industry workshop of ACoP2026)
Date and Time
Saturday, October 10, 2026 | 9am to noon, followed by lunch from noon to 1pm
Requirements
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Your own laptop
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[Optional] - If you'd like to run the workflow agent we'll demonstrate in real time, you will need an active subscription to Cursor, Claude, or Codex. However, this is not required.
Instructors
James Craig, MS: Staff Software Engineer with over 10 years of experience building scientific applications and leading cross-functional teams. He earned a Master’s in data science and analytics from the Claremont Colleges and is a maintainer of multiple R packages supporting Non-Linear Mixed Effects Modeling and pharmacometric workflows. Skilled in R, Shiny, Python, and diverse data-driven technologies. Passionate about bridging software, data science, and drug development.
Samer Mouksassi, PhD is Senior Director, Application Scientist at Certara, recently returned after research at the UCSF Savic Lab. With 20+ years in model-informed drug development, 100+ projects spanning startups to global pharma, and 60+ peer-reviewed publications, he has contributed to regulatory approvals across FDA, EMA, PMDA, and beyond. A longtime advocate for accessible pharmacometrics tooling, Samer holds a PhD in Pharmaceutical Sciences from the Université de Montréal.
Mark Sale, MD: Dr. Sale has extensive experience conducting advanced pharmacometrics analyses across diverse therapeutic areas and developing novel machine learning methods to accelerate drug development. He received his M.D. from The Ohio State University and an M.A. in Biostatistics from Georgetown University. Dr. Sale completed a fellowship in clinical pharmacology at Stanford University and was an assistant professor of medicine and pharmacology at Georgetown University. Dr. Sale is currently the Vice President of Product Management at Certara as well as a scientific advisor at RxStudio.
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Cancellation Policy
Classroom Courses
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If a scheduled class is cancelled, Certara will notify enrolled students at least thirty calendar days before the first day of the scheduled class and the full cost of the course would be refunded. Certara will not be responsible for any airfare, accommodation or other costs incurred by registrants in the event a course is cancelled for any reason. If Certara cancels a course within 30 days for any unforeseen reason a full refund will be issued and airfare exchange fees may be refunded.
If you cannot attend the session for which you have enrolled, you can (1) choose a different session of the same course, (2) have another person attend in your place, or (3) you may be able to get a full or partial refund, based on the number of days prior to the session, as shown in the table.
Notification of Cancellation by Participant Amount of Refund| 1-30 Calendar Days | 0% Refund |
| 31-59 Calendar Days | 50% Refund |
| 60 Calendar Days or More | 100% Refund |
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Details
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