Shuai Yuan is completing his PhD thesis at University College London. He has been working on mathematical models of online advertising with a number of companies such as AppNexus, Advance International Media, Bright, Dot.tk, and Miaozhen. He has a background in information retrieval, data mining, machine learning, and economic theories; his research interests in computational advertising have been focused on supply side optimisation in Real-Time Bidding (RTB), bidding algorithms, and statistical arbitrage. Shuai Yuan has published several research papers in top-tier conferences and workshops including CIKM, SIGKDD, and ADKDD. Among them, he published the first empirical study on RTB auctions. He and his colleagues won the 3rd season of iPinyou Global Bidding Algorithm Competition in 2013. He also contributes to an open advertising dataset project. Shuai was on secondment through the BITE Industry Exchange Award Scheme at MediaGamma, a new company that brings advanced technologies into the online display advertising market. Upon completion of his secondment, Shuai was employed by MediaGamma as a full-time Data Scientist.
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