Jean-Marie C Bouteiller

Jean-Marie Bouteiller

JEAN-MARIE C. BOUTEILLER

Research Associate Professor of Biomedical Engineering

Jean-Marie C. Bouteiller is a Research Associate Professor in the Viterbi School of Engineering, Department of Biomedical Engineering at the University of Southern California. Dr. Bouteiller obtained a Masterā€™s Degree in Computer Science and Electrical Engineering at the University of Science of Montpellier, France. He worked in the German Aerospace Research Center (DLR) as an engineer modeling the fly by wire flight control system of the A3xx (now known as the A380), before moving to the United States to join University of Southern California where he obtained his PhD in Computational Neuroscience. With this dual competency, he then joined the Department of Biomedical Engineering in 2002 as a Postdoctoral Fellow where he developed a computational platform to study the intimate mechanisms that drive the dynamics of neuronal synaptic connections in health and disease. This research effort led to the development of the EONS platform, the most detailed integrated synaptic model to date.

This research has since been broadened and has led to the elaboration of multiscale modeling frameworks and methodologies to help establish a quantitative and dynamic understanding of how mechanisms at different (temporal and spatial) levels independently and together shape function and dysfunctions in the nervous system. These frameworks are of varying complexity and may incorporate mathematical models of complex subcellular biochemical pathways up to large scale neuronal network dynamics.

Dr Bouteillerā€™s expertise comprises parallel processing and high performance computing, mathematical models development, parameters optimization and sensitivity analysis. He has published over 50 journal articles, conference proceedings, and book chapters. Translation of Dr. Bouteillerā€™s research has led to commercialization efforts through the establishment of Rhenovia Pharma, considered a world leader in the field of biosimulation in the nervous system to guide drug discovery and development.