Noah Paulson

Noah Paulson is a highly experienced Computational Scientist at Argonne National Laboratory since June 2017, with a successful track record in securing funding and leading multi-disciplinary projects in computational materials science, including the development of the open-source Phase Diagram Uncertainty Quantification (PDUQ) python package and data-driven approaches to predict battery lifetimes. Prior experience includes a Postdoctoral Research Associate role, where Noah developed a Bayesian framework for thermodynamic models and conducted research on thermodynamic properties. Prior to Argonne, Noah worked as a Graduate Research Assistant at Georgia Institute of Technology, focusing on titanium metals and optimizing computational workflows. Early career experience includes various internships at GE Aviation and a role as a Software Quality Assurance Technician, alongside foundational work at Advanced Technologies Laboratory. Noah holds a Ph.D. in Mechanical Engineering from Georgia Institute of Technology and a B.S. in Mechanical Engineering from Tufts University.