Raif Rustamov

Raif Rustamov is a Principal Applied Scientist at Amazon, specializing in machine learning and data science techniques for relational structures and high-dimensional datasets. Previously, Raif served as a Principal Inventive Scientist at AT&T, where they focused on recommendation systems, customer segmentation, and location analytics from 2014 to 2021. Raif held the position of Engineering Research Associate at Stanford University from 2012 to 2014, contributing to advancements in graph analysis and 3D data. Prior to that, Raif was an Assistant Professor at Drew University and a Research Assistant Professor at Purdue University, where they taught various undergraduate courses and conducted significant research in 3D data analysis. Raif earned a PhD in Computational and Applied Mathematics from Princeton University and a BS in Computer Engineering from Boğaziçi University.