Tom 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 Digital Engineering and High Performance Computing with Hughes Aircraft Company, Floating Point Systems, Intel, multiple startups and most recently NVIDIA. During this time, he was responsible for the simulation of the fire control system for the F-14 for the Navy, introduced the first Terascale system for the DOE, helped develop the OpenLab at CERN, helped start RFID lab for Supply Chain Optimization with MIT and British Petroleum, and more recently supported the development composite workflows that have been awarded the Gordon Bell Special Prize for Covid in 2020 and 2023.His current focus is the convergence of advanced classical simulation methods with AI combined with real-time 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 Co-Chair of the Center for Excellence in Supply Chain and Logistics Excellence at MIT.