Mohamed Tarek, PhD

Mohamed Tarek, PhD

Pharmacometrics · Statistics · ML · Topology Optimization
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Teaching

Courses, workshops, and tutorials

No courses, workshops, or tutorials matching your search.

Workshops and Courses

  1. Certificate Course on AI for Drug Development, Virtual 2025-2026  [sophas]  [material]
  2. Hands-on-Workshop: NLME Modeling Workflows Using Pumas, Virtual 2025. Feb 3-5, 2025.  [material]
  3. Scientific Modeling Augmented by Machine-Learning with DeepPumas, American Conference on Pharmacometrics (ACoP) 2024. Nov 9-10, 2024.  [material]
  4. Intermediate Workshop on Population Modelling Using Pumas, Population Approach Group in Australia and New Zealand (PAGANZ). Feb 14, 2024.  [material]
  5. Scientific Modeling Augmented by Machine-Learning with DeepPumas, American Conference on Pharmacometrics (ACoP) 14. Nov 4-5, 2023.  [material]
  6. Scientific Modeling Augmented by Machine-Learning with DeepPumas, Population Approach Group in Europe (PAGE). Jun 26-27, 2023.  [material]
  7. DeepPumas Workshop at UMB, University of Maryland, Baltimore (UMB). Feb 20, 2023.  [material]
  8. Pumas for Quantitative Pharmacology, Tokyo, Japan. Dec 5-6, 2022.  [material]
  9. Bayesian Analysis in Pumas - (Almost) everything a Bayesian needs, American Conference on Pharmacometrics (ACoP) 13. Nov 3-4, 2022.  [material]

Tutorials

  1. Variational Expectation Maximization (VEM)  [tutorial]
  2. LASSO for Covariate Modeling in NLME Models  [tutorial]
  3. Machine learning fundamentals  [tutorial]
  4. Deep Learning for Covariate Modelling in NLME Models  [tutorial]
  5. Regression using Machine Learning  [tutorial]
  6. SciML using DeepPumas  [tutorial]
  7. Mixed-effects neural networks  [tutorial]
  8. Mixed Effects Pharmacodynamics Identification using DeepNLME  [tutorial]
  9. Covariate Modelling in Nonlinear Mixed Effects Models using DeepPumas  [tutorial]
  10. Introduction to Optimal Design  [tutorial]
  11. Two-compartment PK optimal design  [tutorial]
  12. Fitting Non-Identifiable and Poorly Identifiable Models using Bayesian Inference  [tutorial]
  13. Introduction to Bayesian Models in Pumas  [tutorial]
  14. Random Effects in Bayesian Models  [tutorial]
  15. Posterior Postprocessing - Plots and Queries  [tutorial]
  16. Markov Chain Monte Carlo Convergence  [tutorial]
  17. Model Comparison with Crossvalidation  [tutorial]

Videos

  1. Playlist: Introduction to DeepPumas Learning Path. Sept 9-25, 2025.  [youtube]  [software]
  2. Generaive Machine Learning and Nonlinear Mixed Effects Modelling are the Exact Same Thing. Mar 10, 2025.  [youtube]
  3. Understanding automatic differentiation (in Julia). Dec 11, 2021.  [youtube]
  4. Nonconvex.jl, JuMP-dev Workshop. Jul 30, 2021.  [youtube]  [software]
  5. TopOpt.jl: topology optimization done right, JuliaCon. Jul 29, 2021.  [youtube]  [software]
  6. Setup, Reading and Developing Julia Packages, Canberra Julia Language Meetup. Apr 25, 2021.  [youtube]
  7. DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models, JuliaCon. Jul 31, 2020.  [youtube]  [software]
  8. Topology Optimization and JuMP, JuMP-dev Workshop. Jul 28, 2018.  [youtube]