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Johann Guilleminot is an Associate Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University. He joined Duke on July 1, 2017, after serving as a Maître de Conférences at the Multiscale Modeling and Simulation Laboratory at Université Paris-Est in France. He earned his Master’s degree in Theoretical Mechanics and a Ph.D. from Lille University of Science and Technology in 2005 and 2008, respectively. Guilleminot's research is centered on probabilistic methods and computational mechanics in materials science, particularly focusing on multiscale analysis and statistical inverse problems. He is particularly interested in the interface of fields, heterogeneous materials, homogenization theory, and scientific machine learning applications. Guilleminot’s contributions also extend to stochastic modeling and uncertainty quantification in engineering and science. He has published extensively in prestigious journals and continues to influence the field through his theoretical and computational approaches to complex materials. His research interests include computational mechanics, heterogeneous materials, and molecular dynamics simulations, among other topics.
Department of Biomedical Engineering (MS program)