AEAcademy PMx
Pharmacometrics courses built around clear reasoning, reproducible workflows, and decision-focused learning
AEAcademy PMx is a growing library of pharmacometrics courses built from real industry and academic experience in population modeling, quantitative drug development, and scientific computing. The curriculum connects theory, reproducible workflows, and decision-focused thinking — covering PK, NCA, population PK/PD, simulation, and more.
Courses
Recommended pathway: Foundations Theory → Foundations R → NCA → Population PK/PD
Foundations of Pharmacometrics
Build the conceptual foundation for PK, variability, estimation, and model-informed decision-making — before touching any software.
Computational Foundations for Pharmacometrics
Reproducible PMx workflows in R — QC, data wrangling, visualization, modeling, and a full end-to-end case study.
Noncompartmental Analysis
Audit-minded NCA in R with PKNCA — from profile definition and exposure metrics to terminal phase diagnostics and report-ready outputs.
Population PK/PD Modeling and Simulation
End-to-end population PK/PD using nlmixr2 and rxode2 — data preparation, estimation, diagnostics, covariate modeling, and simulation for decision support.
About the Instructor
Ahmed Elmokadem, PhD
Pharmacometrician · Researcher · Educator
Ahmed holds a PhD in Biomedical Sciences from the University of Connecticut and has spent his career applying population PK/PD, PBPK, QSP, and model-informed drug development methods across multiple therapeutic areas. His work also includes integrating machine learning and AI into pharmacometric workflows — including neural networks, universal differential equations, and hybrid mechanistic–ML models. He has taught graduate students, postdoctoral researchers, and practicing scientists through academic and professional settings.
About & Publications →Questions or feedback? Email admin@aeacademypmx.com