Dr. Shiming (Simon) Zhang, is a Principal Data Scientist in Big Data Lab at Baidu Research China and Silicon Valley. He led to develop several high-performance database systems in Baidu, such as the fastest distributed in-memory database -- OceanDB, MPP data warehouse for petabyte-scale data – Palo, distributed transactional database – TDB, distributed graph database — BigGraph and scalable streaming analytics system — StreamSQL as well as deep analytics in database — DeepSQL. Prior to Baidu Research, he has been as a senior researcher on big data analytic systems at Noah Ark Lab in Huawei Research since 2012. Dr. Zhang has obtained his PhD from University of Hong Kong in 2011, Master from University of Chinese Academy of Sciences, Institute of Software in 2005. He has published more top conference paper (e.g., SIGMOD, VLDB, VLDB.J, TKDE, ICDE, SDM). His interests include distributed database system architecture, large-scale machine learning system and high-performance computing system (e.g., in-memory computation, RDMA, SDN), streaming analytic system for fast big data. He has served and contributed more PC committees (e.g., ICDM, SIGMOD, VLDB, TKDE). He has served and contributed more PC committees (e.g., ICDM, SIGMOD, VLDB, TKDE) and reviewer boards (e.g., Apache HBase, Hive, Impala, Hadoop, Ambari, Stinger, VoltDB).