Summary
George Shakan is an Applied Scientist with a PhD in Mathematics and four years of industry and academic experience bridging deep theoretical research and production ML. He has held postdoctoral positions at Oxford and Université de Montréal before moving into data science roles and now applied science at Amazon, specializing in generative AI and machine learning. His background enables him to translate advanced mathematical ideas into robust models and practical solutions for enterprise-scale problems. George’s career shows a steady transition from research to product impact, demonstrating both rigorous analytical skill and applied engineering judgment. Based in Virginia, he brings a mathematician’s rigor to data-driven decision making and model development in real-world systems.
4 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at University of Illinois Urbana-Champaign