Tie-Yan Liu is a principal researcher of Microsoft Research Asia, leading the research on artificial intelligence and machine learning. He is very well known for his pioneer work on learning to rank and computational advertising, and his recent research interests include deep learning and distributed machine learning. As a researcher in an industrial lab, Tie-Yan is making his unique contributions to the world. On one hand, many of his technologies have been transferred to Microsoft’s products and online services, such as Bing, Microsoft Advertising, and Azure. He has received many recognitions and awards in Microsoft for his significant product impacts. On the other hand, he has been actively contributing to academic communities. He is an adjunct professor at Carnegie Mellon University (CMU) and several other universities. His papers have been cited for tens of thousands of times in refereed conferences and journals. He has won quite a few awards, including the best student paper award at SIGIR (2008), the most cited paper award at Journal of Visual Communications and Image Representation (2004-2006), the research break-through award at Microsoft Research (2012), and Top-10 Springer Computer Science books by Chinese authors (2015). He has been invited to serve as general chair, program committee chair, or area chair for a dozen of top conferences including SIGIR, WWW, KDD, NIPS, IJCAI, AAAI, ICTIR, as well as associate editor/editorial board member of ACM Transactions on Information Systems, ACM Transactions on the Web, Information Retrieval Journal, and Foundations and Trends in Information Retrieval. Tie-Yan Liu is a senior member of IEEE, ACM, and CCF.