About

Uri Nadav is a highly experienced Software Engineer and Applied Scientist currently working at Google. With over 22 years of relevant experience, he has worked on a range of projects in display advertising and ad exchanges. Uri has also served as a Research Scientist at Yahoo, where he contributed to various projects. Uri has a PhD in Computer Science from Tel Aviv University, where he worked on topics in algorithms, algorithmic game theory, auctions, and multi-agent learning in strategic games. During his time at Tel Aviv University, Uri published two papers, one on the limitation of the smooth analysis for price of anarchy bounds, and the other on the convergence of better response dynamics in a wide range of Resource allocation problems. Uri's past experience includes working as a Postdoctoral Fellow at Stanford University, where he continued to work on topics in algorithms and game theory. He has also worked on various projects related to resource allocation and optimization. Uri is skilled in both research and software engineering, making him a valuable asset to any team. His tech stack includes research scientist and software engineer. Uri's expertise in computer science and his experience working with top companies like Google and Yahoo make him a sought-after professional in the field.