“Software solutions based on scientific breakthroughs to reduce the cost and increase the success rate of new drugs development”

Advanced algorithms in user-friendly tools

Lixoft products are designed to save the time and energy of pharmacometricians and biostatisticians. Lixoft brings breakthrough advances to the modeling & simulation community in user-friendly tools. Lixoft products are also designed to break the preclinical/clinical/vigilance divides for modelling and simulation, and allow all stages of drug development to share informations and synthesize them in common studies.

One of the most widely used platform.

Reproducible research and knowledge sharing require the use of common tools, libraries and languages by the academia, industry and regulation agencies. The Lixoft products are also designed for academic research scientists and students, as well as regulation agencies, and provide a perfect support for courses in PKPD and model-based drug development. Lixoft strongly encourages the use of its products for teaching purposes. Please contact us so we can help.

Perpetual innovations in statistics and mathematics

Lixoft maintains a close research partnership with Inria. This collaboration guarantees the most effective organization for rapid technology transfer from academic research to industry-grade software.


Lixoft was founded in 2011, after a seven years research program in statistics and modeling for drug development and clinical trials, led by Inria in collaboration with Inserm and sponsored by Johnson & Johnson, Sanofi, Novartis, Roche, Astrazeneca and Exprimo.

Lixoft was self-funded and constantly growing. On April 1st 2020, Lixoft joined the Simulations Plus family.

Its R&D team includes software developers, statisticians, mathematicians and pharmacologists.


Advisory board

Application team

Dr Géraldine Ayral joined Lixoft in 2016 as VP Application. She leads the team in charge of all pre- and post-sales activities (demonstrations, trainings, technical support), research activities (improvement and development of new methods, application to case studies, publications), as well as the MonolixSuite development (product specification and testing). She also leads the consulting services, focused on technical aspects of population PK/PD modeling and simulation.
Geraldine holds an engineering degree from Ecole Polytechnique (Paris, France) and a Master in computational biology from ETH Zürich (Switzerland), obtained 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.