Amir Saadat

Amir Saadat is a skilled software engineer with a robust background in scientific computing and algorithm development. At Emerald Cloud Lab, Amir developed algorithms for symbolic lab language software focused on data visualization and analysis, as well as image analysis algorithms and machine learning applications. Prior to this role, Amir served as a postdoctoral scholar and visiting scholar at Stanford University, where expertise in multi-scale numerical simulations for blood cells was applied while mentoring graduate students on relevant projects. Amir's academic experience includes teaching positions at Amirkabir University of Technology and The University of Tennessee-Knoxville, where educational contributions involved preparing students for engineering examinations and developing open-source scientific computing applications. Currently, Amir is part of Google’s Core ML and XLA team, continuing to contribute to advancements in machine learning and linear algebra.