Peter is a scientist, executive, and meteorologist with a career conceiving, architecting, developing and operating state-of-the-science, weather-forecasting technologies in scalable environments. He has extensive experience managing, technically contributing to, and executing large programs to implement and operate world-class weather forecasting capabilities. His particular expertise in envisioning new analytical and mathematical paradigms to solve practical weather and weather-impact challenges in big data environments using physical, statistical and heuristic methods. His has particular experience in numerical weather prediction, machine-learning and impact forecasting.