Dr. Rachel C. Kurchin is a postdoctoral scholar at Carnegie Mellon University. She is a computational materials scientist who completed her first postdoctoral fellowship at the Molecular Sciences Software Institute Postdoctoral Fellow working in the group of Venkat Viswanathan on discovery of battery and catalyst materials. She is the lead developer of the Chemellia “machine learning with atoms” ecosystem, in particular the ChemistryFeaturization and AtomicGraphNets packages.

Previously, she completed her PhD in Materials Science and Engineering in the Photovoltaics Research Lab at MIT, where she performed first-principles simulations to understand defect physics in solar cell as well as high-throughput device-level simulations to use Bayesian inference along with experimental data to more quickly and accurately measure fundamental materials properties. Prior to that, she received her MPhil in Materials Science and Metallurgy from the University of Cambridge, supported by a Gates Cambridge Scholarship.

https://rkurchin.github.io/