Summary
Paul Boone is a Director of Data Engineering who blends a PhD in chemical engineering with two decades of hands-on software and finance leadership to accelerate materials discovery using ML, AI, and computational predictions. At NuMat he leads data engineering efforts that turn computational materials science into product-accelerating workflows, drawing on prior roles from data scientist to engineering and finance leadership. His background spans embedded systems to cloud-native architectures, visualization, and financial reporting—skills that help bridge lab-scale research and production-ready data platforms. Notably, his doctoral work focused on computational methods for carbon capture and decarbonization, giving him a rare mix of domain science and production engineering. Based in Pittsburgh, he has a track record of translating complex scientific models into scalable software systems that drive commercial innovation.
10 years of coding experience
16 years of employment as a software developer
BS, Science and Technology in a Global Environment, BS, Science and Technology in a Global Environment at San José State University