Kevin Kaufmann is a materials engineer and Senior Project Engineer based in California with nine years of experience applying data science and machine learning to materials design, synthesis, and characterization. He has a strong track record from a PhD at UC San Diego of accelerating computational screening—cutting evaluation time per composition from over nine days to under one—and translating models into tangible materials improvements like reducing oxide thickness by up to 60%. Kevin builds end-to-end materials pipelines, from thermodynamic modeling and high-throughput experimentation to synthesis and advanced characterization, and has led multidisciplinary teams to develop deep learning tools for EBSD pattern analysis robust to varied acquisition conditions. His background in nanoengineering and hands-on work across micromotors, biofuel cells, and porous electrocatalysts shows a breadth that spans both fundamental science and applied product development. He also blends technical rigor with practical skills outside academia—having entrepreneurial and numismatic experience—which helps him communicate across research, manufacturing, and business stakeholders.
Contributions:1 PR, 2 pushes, 1 branch in 2 months
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Kevin Kaufmann - Senior Project Engineer at Oerlikon