Bryan Raubenolt

Bryan Raubenolt is a classically trained chemical and biomolecular engineer (B.S. – Tulane University), and computational chemist (M.S. and PhD – University of New Orleans) with an expertise in molecular simulations. He is currently a postdoctoral research fellow in the Blankenberg Group at the Center for Computational Life Sciences of The Cleveland Clinic’s Lerner Research Institute, where he develops open-source bioinformatics and cheminformatics soXware for the Galaxy Project. He is an expert in applying computational methods to beZer understand the physiological behavior of viral proteins, in particular the RNA Helicase, an emerging therapeutic target. He is an active researcher at Discovery Accelerator, a joint center that utilizes Cleveland Clinic’s research and clinical expertise and IBM’s global leadership in computing technologies. He is part of a specialized team of researchers developing algorithms and attempting to use Quantum System One (QS1) to unlock the fundamental physics of life at the atom scale, hoping to help answer the oldest question in biology – how and why proteins adopt

the shapes that they do.