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At NuMat, Paul is responsible for using software to drive innovation at NuMat, using ML, AI, and computational predictions of materials properties to accelerate the development of new products. Paul completed his PhD at the University of Pittsburgh, working on computational techniques to advance materials development for capturing carbon and other decarbonization processes. Prior to his PhD, in his 16 years of industry experience, he managed mission-critical software engineering tasks across data analysis, management and visualization, financial accounting and reporting, cloud computing, and embedded devices, as well as managed both the Engineering and Corporate Finance functions.