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Professor Julien Michel focuses on biomolecular simulation, particularly in the areas of computer-aided drug design and chemical biology. His research aims to advance the understanding of biomolecular interactions through computer simulations and statistical mechanics. He emphasizes the importance of molecular recognition in the development of technological advances in healthcare and engineering. The central challenge in molecular science, as identified by Professor Michel, is to deepen the understanding of the physical principles behind molecular recognition at the level of biological processes. His work involves the development of molecular simulation methods to quantitatively predict protein-ligand associations in biomolecular systems that are relevant to pharmaceuticals. He is interested in creating efficient computational methods that reliably design drug-like ligands targeting a variety of biological molecules, while addressing the trade-offs between rigor and speed in pre-clinical drug discovery. His research group leverages high-performance computing resources to innovate in drug design processes and has a collaboration-driven approach to critically assess the efficacy of computational modeling methods in real-world applications.
Department of Marketing