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Graham Greve is a Senior Machine Learning Engineer at Manifold, where he is responsible for designing and implementing machine learning systems that can operate at scale. This entails experimenting with different machine learning models, writing and deploying Python code, and setting up cloud infrastructure with our customers.

Prior to Manifold, Graham was a Graduate Research Assistant with JILA at the University of Colorado Boulder, where he generated quantum entanglement to study fundamental light-matter interactions. At Manifold, he continues to combine his extensive experience in simulation, instrumentation, and data analysis with a passion for solving complex problems within small teams.

Graham has a BA in Physics and a BS in Computer Science, both from the University of Chicago, as well as a PhD in Physics from the University of Colorado Boulder.