Author

Tom Gibbs is currently responsible for strategy and implementation of SW development programs at NVIDIA to enable and promote research in the pursuit of Grand Challenge Science Problems. He has built on undergraduate studies in computer simulation for physics and engineering problems at California Polytechnic University and Graduate studies in Applied AI at the University of Southern California to engage in wide diversity of applications over the past 40 years in High Performance Computing. His current focus is the convergence of advanced classical simulation methods with AI, experimental data acquisition applied to science challenges in each domain. He has hands-on experience enabling early-stage cloud startup companies engaged in applying analytics to vertical industries, innovation programs at CERN, NCSA, TU Munich, DOE labs, PPPL and UKAEA. Tom was a past Chairman of the Open Grid Forum and a member of the Center for Excellence in Supply Chain Management at MIT.