The 2021 Lixoft Spring School, held between 22 and 26 March, 2021 will focus on population modeling for model-informed drug development (MIDD) and simulations of clinical trials using the MonolixSuite.

Students, doctoral/post-doctoral researchers, and industry professionals will gain confidence in using the MonolixSuite applications over the week-long course. You’ll also learn how to make your modeling work more exciting and efficient!


This is a FREE and completely ONLINE event.


FREE TEMPORARY LICENCE for the entire MonolixSuite. Activation key is valid until April 16, 2021

Download MonolixSuite

Registration is obligatory. Use the link below to go to the registration page:



The Spring School will consist of 5 sessions, 1h30min each. It will cover all steps of a modeling and simulation workflow, including:

  • Day 1: Data visualization and population analysis in Monolix. Theoretical recap, run setup in Monolix (using the library) and estimation tasks.
  • Day 2: Model diagnosis with the plots and statistical tests. Covariate search.
  • Day 3: Writing a custom structural model using the mlxtran language.
  • Day 4: Simulations using Simulx
  • Day 5: Advanced examples and data formatting

HANDS-ON: After each session you will receive additional material (datasets, projects and instructions) to put your knowledge into practice. We will present the solutions at the beginning of the next session.

The Spring School CHALLENGE:

We invite you to participate in the challenge announced during the last session:

  1. Modeling – start with a dataset and use MonolixSuite tools to build the best PK model.
  2. Simulations – use results of a phase II clinical trial and design the most successful Phase III.

Surprises await the winners!


The sessions will be recorded and the videos will be available to the participants for the duration of the school (until April 16th).

Day 1:

Day 2:

Day 3:

Day 4:

Day 5:


The transcript of the Q&A sessions grouped by topics: download file


Check the Spring School Challenge webpage:


Dr Géraldine Ayral is a multidisciplinary scientist with a main interest in pharmacometrics.
She joined Lixoft in 2016 as VP Applications, where she is in charge of the support, the training, and the technical communication. Geraldine holds an engineering degree from Ecole Polytechnique (Paris, France) and a Master in computational biology from ETH Zürich (Switzerland) in 2012. After an experience as assistant project manager at SoBios, a start-up developing software for modeling and in silico simulation, she started a PhD in systems biology and multi-scale modeling at INRIA Paris. She received her doctoral degree in 2016.

Dr Pauline Traynard joined Lixoft in 2017 as Applications Manager. She has a multidisciplinary background focusing on computational and systems biology. After a double engineering degree specializing in computational biology from Ecole Polytechnique and MINES ParisTech (Paris, France) obtained in 2012, she applied different mathematical formalisms to model biological rhythms as part of her PhD studies at INRIA and IBENS Paris, and prostate cancer as a postdoctoral fellow in Institut Curie.

Dr Monika Twarogowska joined Lixoft in 2019 as Applications Manager. She has multidisciplinary knowledge, confirmed by a double master degree – in Applied Physics (Gdańsk University of Technology, Poland) and in Mathematical Engineering (University of L’Aquila, Italy) – and Ph.D in Applied Mathematics (University of L’Aquila, Italy), and academic research experience in mathematical modelling in biology, simulations and programming gained in Inria-Sophia Antipolis, Ens-Lyon and CNR-Rome. Her results are focused, on one side, on modelling biological phenomena ranging from formation of stem cells clusters and tumour growth to intracellular movements of molecules and gene expression patterns, and on the other side, on quantitative analysis and development of simulation tools.

Dr Claude Magnard is an application manager at Lixoft. She received her education in engineering at Ecole Centrale Paris, and in biomedical engineering at ETH Zurich, and earned her doctoral degree from the Department of Biosystems, Science and Engineering at ETH Zurich in Basel on the design of computational methods for synthetic biology. Her work combined mathematical modeling and cell engineering to design genetic circuits acting as decoders of signaling dynamics. She subsequently joined Lixoft in October 2020, where she supports and trains the users of MonolixSuite, and collaborates with other application managers and developers to further improve the products.


All information about MonolixSuite applications and how to use them you can find in our online documentations:

In addition, for case study videos, webinars and Feature of the week videos check:

For other questions, you can write to


  • Do I need the MonolixSuite installed on my computer?
    For the online sessions: no, because they will be in the demo version. However, you do need it if you want to practice MonolixSuite between sessions with the hands-on exercises.
  • How to install the MonolixSuite?
    All information about the installation can be found in the download webpage.
  • Which version of MonolixSuite can I use?
    Teachers will be using the MonolixSuite2020R1 version, but you will be able to complete most of the exercises with the 2019 version. In addition, the training material will also contain all projects (except Simulx) compatible with the 2019R2 version.
  • Do I have to pay for the MonolixSuite licence?
    We provide a FREE TEMPORARY LICENCE to all participants of the Spring School.
    If you are an academic or work in a non-profit organisations, then you can benefit from an unlimited and free license for non-commercial activities. See here for the Lixoft license agreement for academic and commercial activities.
    To request such a licence key, please use the form from this website:
  • Will the session recordings be shared?
    Yes, the sessions will be recorded and the videos will be available to the participants for the duration of the school.