Marc Lavielle


Marc Lavielle is a statistician specialized in computational statistics and healthcare applications. He created and directed the Monolix team at Inria. He has worked on the development of new statistical methods, applied to a broad area of applications (geophysics, signal processing, neuro-imaging, agronomy, genetics, PKPD…). Marc Lavielle is the author of the book Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools(Chapman & Hall/CRC Biostatistics Series, 2014). He has also co-authored several papers on various aspects of statistical estimation and on SAEM algorithm. Several of the methods that he developed are implemented in the Monolix software. He recently developed Simulx and the mlxR package for clinical trial simulations.
Marc Lavielle holds a Ph.D. in applied mathematics from Université Paris-XI, Orsay, France (1991). He was named Assistant Professor in 1991 and Professor in 1998 at Paris Descartes University, and joined Inria in 2007 as Research Director. Marc Lavielle is also a member of the French High Council of Biotechnologies, where he is promoting and studying the application of sound statistical methods to evaluate health and environmental risks related to Genetically Modified Organisms.