Mu Qiao is a Research Staff Member at IBM Research - Almaden. His research is focused on data science, big data, and artificial intelligence, especially developing advanced machine learning methods and applying them in solving real world problems. He has led multiple projects at IBM Research, including large scale anomaly detection in data protection, cognitive learning for hybrid cloud readiness, deep learning in data assessment & governance services, and knowledge graph for large scale business service information management. His contributions to these projects have been recognized by several IBM internal awards. Dr. Qiao has served as organization chair, technical program committee member, and reviewer for many top tier international conferences and journals, as well as panelist on U.S. National Science Foundation (NSF) grant review panels. He co-founded the IBM Research Accelerated Discovery Forum (w. Dr. 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 100 world famous speakers and attracted over 8,000 attendees. To date, he also holds 25+ U.S. patents/patent applications in the areas of machine learning, artificial intelligence, cloud computing, information retrieval, and blockchain. Mu Qiao obtained his Ph.D. in Computer Science and Engineering and M.S. in Statistics (concurrent degree) from Penn State University in 2012. 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.