Mu Qiao joined IBM Research as a Research Staff Member in 2012 after obtaining his Ph.D. in Computer Science and Engineering from Penn State University. His research is focused on data science and artificial intelligence, especially developing advanced machine learning methods and applying them in solving real world problems. He has served as panelist on NSF review panels, technical program committee member, organizational chair, and reviewer for many top tier international conferences and journals. He co-founded the IBM Research Accelerated Discovery Forum (w. Laura Haas) in 2013, which aims to bring together IBM and external distinguished researchers and practitioners to share their expertise in all aspects of big data and analytics. The forum has hosted more than 80 world famous speakers and attracted over 6,000 attendees inside IBM. To date, he also holds 20+ U.S. patents/patent applications in the areas of machine learning, cloud computing, information retrieval, and blockchain. He has held research positions at eBay Research Labs, IBM T. J. Watson Research Center, and Xerox PARC. He obtained his B.S. (Highest Honors) in Computer Science from Harbin Institute of Technology, Harbin, China, in 2007.