Research Engineer / Developer, NETL
Brandon Paul (NETL) joined the National Energy Technology Laboratory (NETL) as a full–
time support contractor in 2021. His research background includes physics–based modeling of
heat and mass transfer processes, as well as programming–based APIs for techno–economic
analysis and optimization of chemical systems. He is currently an activity lead for Toolset
support within the Carbon Capture Simulation for Industry Impact (CCSI2) and costing efforts
within the Process Optimization and Modeling for Minerals Sustainability (PrOMMiS) team.
Additionally, Brandon is a lead contributor to machine learning & artificial intelligence tool
development within the Institute for the Design of Advanced Energy Systems (IDAES) and
support for machine learning plugins within the Framework for Optimization, Quantification of
Uncertainty and Surrogates (FOQUS). His current work focuses on process design, simulation,
optimization and techno–economic analysis of carbon capture systems. Brandon earned dual BS
degrees in Chemical Engineering and Materials Science Engineering from the University of
California, Irvine in 2019, and an MS in Chemical & Biological Engineering with an emphasis
on superstructure optimization from the University of Wisconsin in 2020.